Google is leveraging its market dominance to bypass open standards, effectively turning the browser into a proprietary black box under the guise of AI innovation. This unilateral move sacrifices web interoperability and security scrutiny for the sake of absolute vendor lock-in.
Install our extension to search inside any video instantly.
A Browser AI API? - End of Bug Bounties?Added:
It's time for security now. Steve Gibson is here. He is armed with the knowledge that Google is now downloading 4.7 gigabytes when you download Chrome. What is it? A local AI model. Steve talks about its implications. Next on Security Now. This episode is brought to you by Outsystems, a leading AI development platform for the enterprise.
Organizations all over the world are creating custom apps and AI agents on the Outsystems platform. And with good reason. Build, run, and govern apps and agents on one unified platform. Innovate at the speed of AI without compromising quality or control. Trusted by thousands of enterprises worldwide for missionritical apps. Teams of any size and technical depth can use out systems to build, deploy, and manage AI apps and agents quickly and effectively without compromising reliability and security.
Without systems, you can accelerate ideas from concept to completion. It's the leading AI development platform that's unified, agile, and enterprise proven, allowing you to build your agentic future with AI solutions deeply integrated into your architecture.
Outsystems. Build your agentic future.
Learn more at outsystems.com/twit.
That's outsystems.com/twit.
>> Podcasts you love >> from people you trust.
>> This is Twit.
This is Security Now with Steve Gibson.
Episode 177, recorded Tuesday, May 5th, 2026. A browser AI API. It's time for Security Now. Yes, it's Tuesday. Yes, I am not in my studio. I am in beautiful Hawaii, the Big Island. But that doesn't mean I'm not gonna get Steve Gibson on the horn and talk about security because I know you need your fix. Hello, Mr. G.
>> You know, Leo, you look a little more tan than you did last time I saw you.
>> I am. See, my my my hand is light, but my face is a little dark.
>> Do my ties increase skin pigmentation?
>> Maybe that's what it is. Maybe that's what it is. Something. Yeah, we're on vacation, but I can't, you know, I still want to do the shows. And so, uh, I've set up, if if you could only see this cookie setup. I am outside on the lai.
>> We hear the, uh, the exotic birds tweeting in the background.
>> There are some exotic birds. There's minor birds. There's house sparrows. And there's a bird that looks like a little chicken uh, called a phallic. I can't remember the name of it, but uh, >> chicken bird.
>> Chicken bird. And it's very noisy, so you'll know if it decides. But the sparrows are very aggressive. They might think I have something to give them. So they might be coming up here and sitting on my shoulder.
>> Well, it all adds to the ambiance that >> That's it.
>> We have with you and Lisa in the Big Island.
>> It's so beautiful. Have you been to Hawaii, Steve?
>> Oh, yeah. I had half of my the second half of my honeymoon in Hawaii.
>> I love Hawaii. I do.
>> So, what's coming up on Security Now this week? So episode 1,077.
It's funny. Ever so every so often I think about 177 which sort of puts the infamous 999 into context. Now it's been a while >> actually. It's been7 77 whiles.
>> Yeah. Um so there were two main topics which were contesting uh for uh to win the the coveted title of the podcast this week. Uh Google's arguably premature move to build AI into Chrome ended up winning because Mozilla has said h not so fast.
>> Yeah. Um, but we got a lot of good things to talk about. Uh, turns out that some hackers used AI to code up a portal for credit card uh, stolen credit card verification. They forgot to ask it to add authentication. So, whoops. Uh, also the the UK's uh security group, the NCSC, has issued their own mythos warning, which caused me to wonder where is SISA? Why why haven't we heard anything from SISA? Uh, we're going to we're going to touch on that. We've got another of many recent uh Linux local privilege escalations.
This one is bad and it's affected Linux for years. Uh, and yes, AI found it. Uh, also some interesting commentary about the the the ground shifting under AI and vulnerability research, how it's looking like it may spell the end of bug bounties and why that is probably the right thing to have happen. Also, Anthropic has released a uh what they call claude security as a mini mythos.
uh chat GPT has made some uh changes which demonstrate it's getting very serious about login security. Um, I want to make a comment that about something I discovered uh since we last talked about the end of life of Sync Traaser version one, which is what I use to to sort of bundle sync thing uh into a nice little applet for Windows, but there's a replacement for it. And then we're going to talk about how Google has sort of surprised everyone by just saying we think it's time that we add AI support in JavaScript. So, lots of fun things to talk about and of course a great picture of the week. So, yeah. Oh, and there are a couple things that happened just now. Uh just so that our listeners know that I'm aware of the fact that DigiERT suffered a major breach.
>> Oh. which allowed 30 uh EV code signing certificates to get minted behind their back.
>> Oh, that's not good.
>> And used. However, their disclosure is being called a reference, a state-of-the-art. This is the way you do it. If you're going to if you're going to say what happened, if you're going to share with the industry your your postmortem. So, uh, they just updated it 10 minutes ago, so it's still a little bit in flux. We'll take a look at what they had to say, uh, things that went right, things that went wrong, and what they learned. It it ended up being a social uh, hack, a um, a malicious screen saver of all things got into two of their tech support member uh, PCs, and it it wasn't detected due to a Crowd Strike endpoint security misconfiguration. So anyway, I'm all up to speed on it, but I just didn't have time. I didn't have a chance to Well, actually, it's still we're still learning a lot and it's still in flux.
So, we'll have good coverage of that next week. I just want to let everybody know that I was aware of that. So, uh we'll take our first break. We'll look at the picture of the week and then we'll get into all this.
>> It it really just shows you how anybody is vulnerable to this. Yes.
>> Uh and and as you said when we were at the threat locker zero trust world, the threat's coming from inside the house. A a network engineer who put a screen saver on his system and suddenly you're compromised. That's uh that's terrible.
All right. Well, I'm not going to do the commercials from here in Hawaii. I'm on vacation. So, I'm going to let Leo and Pedaluma take this one and then we'll be back with the picture of the week right after.
>> You white skinned Leo. Yes.
This episode of Security Now brought to you by Zcaler, the world's largest cloud security platform. You know, the potential rewards of AI are too great to ignore, but so are the risks. Loss of sensitive data and attacks against enterprise managed AI. Generative AI increases opportunities for threat actors, helping them to rapidly create fishing lures and write malicious code, automate data extraction. There were 1.3 million instances of social security numbers leaked to AI applications. It's time for a modern approach with Zcaler's zero trust plus AI. It removes your attack surface, secures your data everywhere, safeguards your use of public and private AI and protects against ransomware and AI powered fishing attacks. Don't believe me? Check out what SA the director of security and infrastructure at Zora says about using Zcaler. Much >> AI provides tremendous opportunities but it also brings tremendous security concerns when it comes to data privacy and data security. The benefit of Zcallet with ZIA rolled out for us right now is giving us the insights of how our employees are using various geni tools.
So ability to monitor the activity make sure that what we consider confidential and sensitive information according to you know company's data classification does not get fed into the public LLM models etc. Thank you, SA. With zero trust plus AI, you can thrive in the AI era. You can stay ahead of the competition. You can remain resilient even as threats and risks evolve. Learn more at zscaler.com/security.
That's zscaler.com/security.
Now, back to Steve and now. Thank you, Leo.
We, you know, just to explain behind the scenes, we weren't sure this was going to work at all. And so we thought, well, I better pre-record the commercials in case, uh, I don't know, Micah had to jump in or something. Uh, and I brought a Starlink Mini and all sorts of backup stuff. And it turned out, wow, who knew in Hawaii they've got cable modems, high-speed internet. I didn't need to bring anything. I'm just >> So it isn't a complete proof of concept of your ability to roam through like anywhere in the on the globe and use >> not yet. Not yet. I I probably should though, you know, uh set it up. We have this nice lawn behind us. There's plenty. It's perfect space for the Starlink. So I probably should just set it up uh before I go home and and and make sure that I can do that. But you know, everybody >> could double as a bird bath, couldn't it?
>> Yes, it could. uh or a serving tray. Uh all right, I have and now this is going to be another interesting experiment. I have the picture of the week. Shall we uh share it?
>> So this was great uh shared from a listener of course as as are they all uh I gave this one the caption attempting to preempt the inevitable question. Why has the lobster become so expensive? Uh, okay.
>> So, we see a sign.
>> All right. I had seen the lobster part, but I hadn't seen the rest of it. That's hysterical.
>> The sign is taped to the window of a buffet or a restaurant or something explaining just again preempting the inevitable question. So, the sign says, "All lobster prices have increased due to higher lobster prices."
And I can see in the background there's um okay, a little old lady, an elderly person, and you know, she went up to the guy at the restaurant said, "Why are the lobster prices so high?"
>> And he just pointed to the sign. He said, "Lady, >> yeah, >> because they're so read the sign."
That's right. All lobster prices have increased due to high lobster prices.
>> Very nice. Very nice.
>> What are you gonna do?
>> Okay. Um, so we begin this week with a story that intersects several security fronts. Last Wednesday, cyber news headline was scammers vibe code server to verify stolen credit cards leak details of 345,000 cards. Uh, I I had to read that one twice to make sure I understood what they were saying. So, here's what they discovered. They wrote, "Threat actors, like so many programmers around the world, are no strangers to AI assisting in their operations. However, like so many Vibe coders, scammers also run into security issues. On April 16th, the Cyberne research team discovered an exposed server owned by a threat actor.
The exposed information is controlled by a carding market called Jerry's store.
Act as in Tom and Jerry. There were some little cartoons of a mouse jumping around on things uh on in posted on the dark web. They said the tool provides credit card validity percentages for each seller. In other words, thread actors use this tool to check if the stolen payment card is still operational.
According to our team, Jerry's store operators extensively used Cursor, an AI assisted development environment. In fact, it was one of the very earliest uh AI based uh coding assistants uh from from several years back. Cursor they said to set up the leaking server and to not knowing that it was leaking and to create administratorfacing dashboards.
Cursor, they wrote, is a legitimate service developed by the US software company anyphere. Researchers believe that relying on an AI assistant to set up the server was the reason it was exposed. Based on the chat logs our team was able to access, the threat actor received flawed instructions from their AI. Imagine that. for building the dashboards. The team explained, quote, we were able to confirm the leak originated from the user asking to create a statistics dashboard and cursor created an unauthenticated open web directory to serve the web page, ignoring the need because of course you didn't ask for it. Ignoring the need to set up authentication or ensure that only the intended dashboard would be accessible. In other words, it's just like a regular user. If you don't ask for authentication, you're not going to get authentication. Anyway, they they finish saying, moreover, the chat history reveals there was sufficient information for the cursor large language model to identify that it was helping set up a credit card verification service indicating a lack of sufficient guard rails to prevent abuse. And as you've often heard me say, I I don't think you can really control a large language model. Researchers said, quote, "It's a lesson for developers using cursor for legitimate uses, showing how it can lead to accidental data leaks, right? It's just going to write what you ask it to. It's not going to like be your security nanny." So, Cyberne said that they'd reached out to Cursor for comment and would update their article with any additional information they receive. The fact that the cursor AI produced a statistics dashboard driven by an unsecured and open web directory allowing unauthenticated remote access. I think it's a great example of the danger of using AI without being a domain expert that is you know without knowing what to ask for because you you know it'll give you what you ask for but you need to know what that is. Um, I have no doubt that the cursor AI would have easily provided the instructions for the authentication that was needed if it had been asked to, but apparently the bad guys never thought to ask. Um, you know, somebody who wasn't really up to speed on web-based application security could easily fall, you know, or fail to anticipate all the various ways others might access and penetrate their system. So, you know, use expecting AI to produce secure solutions by default, it's probably a fool's errand in this case. either it never occurred to them that authentication should be required where it was absent or they didn't know it was going to be absent or they assumed that the AI would know you know like what it should do and would do it without bidding. Um the cyber news article also provided some interesting background reporting a little bit on the underground industry in stolen credit cards which I thought was interesting.
They wrote, "Operations such as Jerry's store are integral to the cyber crime infrastructure. Once scammers obtain stolen credit card information, they need to verify which cards can still be exploited. Jerry's store provides that service." Our team noticed that to complete the task, Jerry's store operators use legitimate, well-known merchants. The cyber news team explained, quote, "Threat actors used multiple legitimate merchant websites such as Amazon US, Amazon Japan, GrubHub, Sam's Club, Teimu, Lyft, Elf Cosmetics, and CountryMax, utilizing hundreds or in some cases thousands of accounts that have already been established on these platforms to perform credit card validity checks.
Attackers created those accounts to register stolen cards and then perform low-risk actions, as they called them.
These could include adding cards as a payment method or making a very small purchase. If the platform accepts the card, thread actors mark the card as valid and sell it to other thread actors on the dark web. using large merchants like Amazon or GrubHub, of course, is a way to mask their activity since large merchants process billions of payments.
Tiny transactions on a well-known website don't ring any alarm bells. They wrote, "According to our team, the exposed server contained a treasure trove of credit card details. Details meaning, you know, everything you need to process someone's card." researchers identified nearly 200,000 credit card details that the service had verified as valid uh and over 145 accounts I'm sorry 200,000 that were invalid and over 145,000 accounts that they had verified as valid now the exposed information includes all the details that you need credit card numbers expiration dates the security code the card holder's name and their address. Typically, they wrote, "Valid credit card details are sold for between $7 and $18 each on the dark web." Meaning that the value of the valon the valid stolen card data, that's the 145,000 cards that are that have been verified there, is somewhere between a million and$2.6 million. They said, however, our team added that the actual value of the exposed infrastructure may be a lot higher since Jerry's store sells much more than just credit card data. That's just one of the types of, you know, uh, fraud that they're that they're there uh, uh, making available in the store. They said, "While it's unclear where Jerry's store is located, internal tooling and leaked large language model chat logs suggest that the marketplace's administrator is fluent in Chinese. The server itself appears to be hosted in Germany by a suspected bulletproof hosting provider. The marketplace which yeah the marketplace which launched in late 2023 is a well-known credit card vetting tool within the cyber crime underground aimed primarily at cards stolen from victims in the US and the EU.
>> Fluent in Chinese but not AI apparently.
>> Exactly.
>> You know this comes up a lot. We're going to see more of these. Whoops.
Well, hold on camera. I'm over here.
Thank you.
>> Nice. People blame AI uh for stuff that they do that's dumb.
There was a big story last week and everybody blamed AI because the guy's database production database got clobbered. But of course uh if you give AI the keys to your production database, it's on you, my friend. And if you're dumb enough to say, "Hey, just make me a website to authenticate uh but but don't put any authentication layers in there."
AI is going to do what you say. It's it's I think this comes from sort of a magical belief about AI that it's somehow intelligent or or or you know it's going to take care of you and it's not.
>> Um and probably it's a hope as as much as belief. Yeah. It's like I hope that AI knows how to do this and since it seems to know a lot I'm just going to assume that it does.
>> Well, it does if you tell it to. It would. I mean, you're absolutely right.
If you say AI is great at OOTH, if you say write the login page, use OOTH, make it secure, it will absolutely do that, but you have to tell it to, it's not going to assume that. It might, and but again, it might not. The other the other thing I wanted to mention is I have had credit cards stolen due to my own stupidity. And the very first of all, credit card companies know to look for those lowrisk, low value charges, you know, right? In fact, they used to say if somebody buys sneakers and then tries to fill up a tank of gas, they invalidate that credit card immediately because that's the first thing somebody steals a credit card is going to do.
That's times have changed. That's not true anymore. When I credit, my credit card was stolen. I mentioned this before. They added it to an Apple wallet. So, they had a prior setup Apple account and added it to an Apple wallet, which they then used the credit card through, obscuring the source of the credit card. or the actual credit card.
It's very I thought very clever >> and I should have known because when I gave it the six-digit code, it said, "Okay, we're trying to add this to that Apple wallet." And I said, "What are you talking about? I'm not trying to do an Apple wallet." That should have been the hint to me that they were doing something funny. Um they're, you know, it's a cat and mouse Tom and Jerry kind of a game. Yeah, it does feel like um you know as I have said on the podcast before um for like I mean in the early days probably almost before this podcast uh I used to fly up to Northern California to to visit my family in Northern California for the holidays and and this was you know pre-expedia and so forth. So, I actually had a travel agent from the old old old days who I just kept around. And when we would have our conversation, um, she would invariably say, "Well, so Steve, do you have the same credit card or have you lost that one, too?" Uh, because, you know, cuz I I was out on the internet poking around and and it's like, "Oh, yeah.
>> I don't feel so bad now."
>> Yeah, it did. It did. Yeah, it I did lose that one. So, okay. So, uh, last Friday, Ali White House, the chief technology officer, you know, the CTO for the UK's NCSC, their national cyber security center, issued a clear warning um, at the level of the government.
Ali's warning posting was titled preparing for a v vulnerability patch wave and it carried the tagline organizations must act now to prepare for a wave of patches that will address decades of technical debt. And I love that term in this in this instance. the I I think the the the term technical debt is exactly the right way to express the concept that you know the piper may be about to get paid. Uh I have a friend from the Midwest who whose favorite term for this would be they're about to get their just comeuppants. Uh yes, comeuppants indeed. So, here's what the UK's NCSCTO wanted everyone within the United Kingdom, within his his sphere of influence to appreciate.
He wrote, "Whether they are technology producers and vendors or consumers and operators, all organizations have technical debt, a backlog of technical issues that's both expensive and timeconuming as a result of prioritizing short-term gains over building resilient products. Artificial intelligence when used by sufficiently skilled and knowledgeable individuals is showing the ability to exploit this technical debt at scale and at pace across the technology ecosystem. As a result, the NCSC expect there will be a forced correction, which is the way he phrased it. We're going to have a forced correction to address this technical debt across all types of software, including open-source, commercial, proprietary, and software as a service. This is why we are encouraging all organizations to prepare now for when a patch wave arrives, a rush of software updates that will need to be applied across the technology stack to address the disclosure of new vulnerabilities.
All organizations must take steps to identify and minimize their internetf facing and other externally exposed attack services as soon as possible. As we've argued for some time, you should prioritize technologies on your perimeter and then work inwards covering cloud instances and on premises environments. By doing this, organizations can reduce the risk posed by latent vulnerabilities when they become known and exploited by attackers.
Where organizations cannot apply updates across their entire environment, they should prioritize applying updates to their external attack surfaces. Where capacity extends beyond the external external attack surface, organizations should prioritize critical security systems. It's also important for organizations to realize that patching alone will not always suffice. Some technical debt may be present in end of life or legacy technology that's out of support and so cannot receive updates.
In such instances, organizations will need to replace technologies or bring them back within support, especially where it presents an external attack surface. Building on the principles contained within our vulnerability management guidance or uh guidance, organizations should make plans to deploy software security updates quickly, more frequently, and at scale, including across their supply chains. We are expecting an influx of updates to address vulnerabilities across all severities and expect a number to be critical. NCN, NCSC recommend that or that and they have three where automatic secure hot patching is available that is patching that does not involve service disruption. This should be enabled as a priority. Okay. Well, that's you know not hard to to imagine as the first where automatic updates are available including for embedded devices. This should be enabled to reduce the workload on support teams. So yeah, turn on automatic updates and go for it. And third, where neither of the above are available, organizations will need to ensure that processes and risk appetites support frequent and and scaled updating, noting the operational tradeoffs around disruption and safety critical systems. A risk prioritized approach such as the stakeholders specific vulnerability categorization system can be used to prioritize installing a updates. And then they they continue, however, should a critical vulnerability be under active exploitation, especially when affecting an internetf facing system, then it is essential to accelerate the update process. Organizations can refer to the NCSC's new guidance on responding to active exploitation of vulnerabilities for more information. To summarize, you should put in place a policy to update by default where you always apply software updates as soon as possible and ideally automatically. This should be at the core of your update management process, but we recognize it may not apply in some instances such as for safety critical systems or operational technology. Patching alone won't address the systemic problems that my he he writes, my previous blogs have addressed. I've appealed to technology producers and vendors to ensure systemic technical security debt is minimized by including where appropriate memory safety and containment technologies.
Similarly for consumers and operators, a focus on cyber security fundamentals to raise resilience and to reduce the impact of breaches should be a priority.
This includes adopting and fully implementing cyber essentials or the cyber assessment framework for organizations operating essential services such as energy, healthcare, transport, digital infrastructure, and government. Finally, prepare for the patch wave now. In conclusion, the NCSC advise all organizations irrespective of size to plan and prepare for the vulnerability patch wave. A good start uh is to is by reading the NCSC's updated vulnerability management guidance for larger organizations. We also recommend working to gain assurance from your supply chains, both commercial and open source, so that they're prepared to navigate any required response.
One thing that occurred to me as I was going through this is that in the na in the name of preparedness and this certainly applies to everybody in the UK and out this notion of of gaining assurance from your supply chains. I would say make sure that the providers of the equipment that you have on the edge which are under support which can obtain updates make sure they've got a like a a a greased path through you know into your email. make sure that when they do notify you of updates that are available, it doesn't get routed to some we'll get around to it, you know, next month during our monthly review process. I would say, you know, given what we expect to have happening here over over the next couple months, make sure that that you that the communications inbound from the vendors that you are depending upon to have the the most recent code running can get to you and largely what I just shared from the NCSC, you know, it's a restating of what we already know, right? At the same time, for many of the CIOS and CSOS and IT heads in organizations throughout the UK where this has rain, a clear statement and posting such as this can provide the cover and the backup they may need to succeed in getting their organizations, you know, and the other seuite executives to take this seriously to understand what is probably going to be happening shortly.
Um, and as I was seeing this note from the UK's NCSC, I realized that I hadn't seen anything from our own SISA uh, in the US. And that struck me as odd since the SISA we've all come to know, would normally have been shouting about this from the mountaintops. So I went digging to see whether maybe I had missed that statement which you know it seemed clear SISA should have made in the wake of the mythos revelations.
I found a report published two weeks ago on April 21st by Axios. Um and it exactly addresses the question where SISA the reporting was posted as a scoop titled scoop sissa lacks access to anthropics mythos and Axios explained writing the cyber security and infrastructure security agency you know CISA does not have access to anthropics powerful mythos preview model even though some Other government agencies are using it. Two sources tell Axios this matters because the country's top cyber defense agency tasked with helping to secure everything from banks to power plants is on the outside looking in. At a time when the industries it works with are deeply concerned about AI powered cyber attacks overwhelming their defenses.
Anthropic decided against a public release of Mythos. This is Axio's bringing less informed readers up to speed. Anthropic decided against a public release of Mythos due to its unprecedented ability to quickly discover and exploit security vulnerabilities. Instead, Anthropic provided it to more than 40 or 40 companies and organizations who are now testing it and working to shore up their systems. SISA is not on that list.
Earlier this month, an anthropic official told Axios the company had briefed SISA and the Commerce Department on Mythos's capabilities.
The Commerce Department's Center for AI standards and innovation has reportedly been testing Mythos. So, they have it.
The NSA is also among the organizations using Mythos despite the Department of Defense, which oversees the agency, having declared mytho anthropic, is a supply chain risk," unquote. It's unclear if the ongoing turmoil within the agency during the second Trump administration played any role in the agency not moving more swiftly to secure access. Spokespeople for SISA and Anthropic both declined any comment for this reporting by Axios. They wrote, "The Trump administration has spent the last year, as we know, reducing capacity at SISA. Instead of opting to give more policy influence to the White House's national instead of of of that they have opted to give more policy influence to the White House's national cyber director and pushing some programs out to the state and local level. So trying to you know distribute this instead of having it as centralized as it had been under SISA. says his acting director, a guy named Nick Anderson, told lawmakers last week that the AY's resources are quote more limited than I would like, unquote. He said Trump has proposed cutting as much as $77 million more from the AY's budget in the upcoming fiscal year. SISA has already lost more than a third of its workforce and millions of dollars in funding.
National Cyber Director um Sean Karen Cross is among the Trump officials negotiating broader civilian agency access to Mythos. The Treasury Department has also been negotiating access. Sources tell Axios that other organizations with access to Mythos have predominantly been using it to find exploitable security vulnerabilities within their own networks and software.
Security teams at critical infrastructure organizations have often looked to CISA to share threat intelligence across their sectors and determine how to prioritize their security strategies. And as we know those critical infrastructure organizations have have very much depended upon SISA but also on that that that blanket of hold harmless so that they are free to disclose things they discover which is still a little bit in limbo. So I heard I hadn't heard about this acting SISA director Nick Anderson. So, I checked him out and he appears to be imminently competent and qualified. He's a decorated US Marine Corps veteran who served as uh CIO, chief information officer for Navy intelligence and head of the office of intelligence surveillance and reconnaissance systems uh and technologies at the US Coast Guard. He served in on active duty managing intelligence mission systems in Iraq uh Europe and Africa and as a veteran of the uh operation Iraqi freedom. He served as principal deputy assistant secretary at the department of energy's office of cyber security energy security and emergency response where he led national efforts to secure US energy infrastructure. He also served as federal cyber security lead and senior cyber security adviser to the federal CIO at the White House Office of Management and Budget. So, you know, this guy's, you know, he he's certainly competent to be on top of SISA. Um, I've got no complaints with Nick's background. It appears what he needs is more resources and support. uh and that CIS's lack of access to mythos is largely due to the as we're now calling it the war department's unfortunate feud with Anthrop uh Anthropic. Anthropic made clear in 2025 at the time that it signed its contract with the Pentagon that it did not want its AI technology to be used for mass surveillance of people within the United States or for fully autonomous weapons systems. As we know then subsequently the Department of War demanded that Anthropic drop those restrictions and Anthropic refused to do so. They published a public statement explaining their position, you know, and regarding fully autonomous weapons, they wrote, "Frontier AI systems are simply not reliable enough to power fully autonomous weapons. And without proper oversight, fully autonomous weapons cannot be relied upon to exercise the critical judgment that highly trained professional troops exhibit every day."
Anthropic offered to work with the department of war on R&D to improve the reliability of these systems but were turned down. So after that in apparent retaliation and without any evidence the Pentagon declared Anthropics suddenly to be a supply chain risk. Uh and this is all very unfortunate since CISA should absolutely have access to anthropics mythos preview. Hopefully the White House's national cyber director, this Sean Karen Cross, who appears to understand the need, will be able to make something happen. You know, it's clearly ridiculous to have one of the US's leading AI firms frozen out of the government because, as Secretary Pete Hegth declared, it is woke AI.
whatever that means in this context. For the time being, it appears that SISA is silent for purely political reasons.
>> This is really politics should not be in intrude into this at all and unfortunately very much has. Um I mean CISA is in the doghouse because of what happened in 2020, >> right? Chris Krebs, >> right?
>> And um now the White House is saying they want approval of all future AI models, period. They're about to draft a proposal that AI models can't be released without government approval.
This is exactly the wrong direction to take with this stuff.
>> Well, and I also did see that Anthropic wanted to do a second round. They they wanted to expand their program by adding an additional 70 70 uh or organizations that would have access to mythos preview and the White House said no. is like blocking their ability to incrementally roll this out.
An incremental disclosure here is exactly what you want. You get the core 40, they have a month with it now and then and then you widen the circle again and let another, you know, like like next tier have access to it.
>> Yeah. This is it. It's a little infuriating because political motivation and what's the right thing to do from a security point of view don't necessarily coincide and and that's what you're seeing here and it makes us all less safe frankly. Yeah. Okay, break time and then we're going to look at this uh newest Linux uh local privilege escalation uh and look at how AI is reshaping the bug bounty business.
>> Excellent. Well, I can just sit back and relax because Pedaluma Leo is going to take control.
>> This episode of Security Now brought to you by Meter, the company building better networks. If you're a network engineer, you know the headaches, legacy providers, inflexible pricing, IT resource constraints, stretching you thin, complex deployments across fragmented tools. Look, you're missionritical to the business, but you're working with infrastructure that wasn't built for today's demands. That's why businesses are switching to Meter.
Meter delivers full stack networking infrastructure wired, wireless, and cellular that's built for performance and scalability. Meter designs the hardware, they write the firmware, they build the software, they manage the deployments, they provide support. Meter offers everything from ISP procurement to security, routing, switching, wireless, firewall. They do cellular, they do power, DNS security, VPN, SDWAN, multi-sight workflows, all in a single solution. Meter single integrated networking stack scales from major hospitals, branch offices, warehouses, and large campuses to data centers. Even Reddit, the assistant director of technology for Web School of Knoxville, said this quote, "We had more than 20 games on our campus between our two facilities. Each game was streamed via wired and wireless connections and the event went off without a hitch. We could never have done this before Meter redesigned our network. With Meter, you get a single partner for all your connectivity needs. From first sight survey to ongoing support without the complexity of managing multiple providers or tools, one number to call.
Meter's integrated networking stack is designed to take the burden off your IT team and give you deep control and visibility, reimagining what it means for businesses to get and stay online.
Meter built for the bandwidth demands of today and tomorrow. Thanks to Meter so much for supporting Steve and Security Now, and we invite you to go to meter.com/securityow and book a demo. You'll be glad you did.
That's me ter meter.com/security.
Now book a demo. Okay, meter. All right, now back to Steve.
All right, Steve, on we go with security.
>> So the news late last week was of the discovery of another serious local privilege escalation discovered in the Linux kernel and it had been there for a long time. And yes, before you ask, it was found by an AI vulnerability discovery system operated by a security firm named Theori. Uh they wrote, quote, "An unprivileged local user can write four controlled bytes into the page cache of any readable file on a Linux system and use that to gain root.
A simple 732 byte line uh nine line Python proof of concept has been posted to GitHub which immediately elevates any normal user to root and of course that's not something you want to leave unpatched. So this important and uh uh I'm sorry this is important and Linux distros the ones that are for sure uh known Debian, Ubuntu and Susi have immediately issued patches for the problem. Uh and uh o overseers of many other distros have as well. Red Hat initially said it was going to defer the fix but then later changed its guidance to indicate that it will be going along with the other distros and will be patching promptly.
Uh the CVE has been rated as high severity at a 7.8 out of 10 and of course it's only it's only only I mean still that's bad 7.8 eight, uh, which is, you know, it's as bad as it gets for a local privilege escalation, but the attacker first needs to get into a nonroot account where they're able to then execute this script in order to obtain elevation. Uh, but on the other hand, anybody who has local access to a machine also is able to use this. So, it's a complete breach of of Linux security cont, you know, account security. Um, at the end of one of the reports of this, I ran across the statement AI assisted vulnerability research recently prompted the internet bug bounty, that's IBB, the internet bug bounty program to suspend awards until it can understand how to manage the growing volume of reports.
I thought that was interesting and it was news to me. So, I went hunting.
Here's what I found about that. Near the end of March, the Internet Bug Bounty Program, which is run by Hacker 1, paused their acceptance of new vulnerability submissions due to what Hacker 1 described as an increasing imbalance between vulnerability discoveries and the ability for open-source maintainers to remediate them. And of course, yes, AI is the underlying driver of all this.
Okay, but let's for back we'll back up a little bit. Um, recall that the Internet Bug Bounty is a crowdfunded vulnerability reward program that was started 14 years ago back in 2012 and it's operated through the Hacker One platform. Its its purpose and intent is to reward and thus incentivize independent security researchers to find and responsibly disclose vulnerabilities in widely used open-source software. The funding for the program comes from a consortium of major tech companies including Facebook, GitHub, Shopify, Tik Tok, and others who all contribute to a shared bounty pool. The underlying idea is that since everyone depends on open-source infrastructure, everyone should share in the cost of helping to secure it. And the vulnerability discovery payout structure is pretty simple. 80% of each awarded bounty goes to the researcher who reported the vulnerability with the remaining 20% being contributed to the open-source project itself where the trouble was found to support you know its repair and and remediation. So that helps to fund the the remediation work and and makes the program go. It's been widely seen as a success, having paid out more than $1 and a half million dollars since the program began.
But almost predictably, AI has messed everything up. Hacker once stated, quote, "The discovery landscape is changing. AI assisted research is expanding vulnerability discovery across the ecosystem, increasing both coverage and speed. The balance between findings and their ability to fix them, you know, remediation capacity in open source has substantially shifted. So the problem is being called triage fatigue. And the trouble is not just the increased volume of reports. That would be bad. Uh and what's interesting is not it's not also not the signal to noise ratio. The actual problem is the nature of the noise. Weirdly the quality of the noise while still noise has increased.
We all know Daniel Stenberg, the creator of CURL. He expressed it this way. He said, "More convincing crap is worse than obvious crap. You can't dismiss it quickly. You have to investigate it, and you waste real time getting to the point where you can prove its nonsense. At scale, this stops feeling like a helpful external contribution model and starts to resemble something closer to a denial of service attack. on the people who are responsible for security which is like yikes a consequence of AI.
So 31 years ago, way turning the clock way back, 31 years ago in 1995, Netscape launched the first widely recognized paid bug bounty program, offering to pay researchers back in 1995 for their responsible reporting of significant bugs, which they discovered in Netscape Navigator 2.0.
So they were really ahead of the game at that point. Of course they also had a web browser that was ahead of the game and that model has been functioning vibrantly. The notion of paying researchers for responsibly uh reporting bugs they find been functioning ever since. So the notion that AI may be driving a fundamental change to this longstanding vulnerability discovery and reporting model is important enough as I said at the top of the show to be a contender for today's main topic except that the idea of Google going off halfcocked and adding an explicit AI interface for JavaScript in Chrome that also needed ample discussion space today. Uh, and we're going to cover Mosilla's push back against that at the end of the podcast.
But meanwhile, the company Aikido, which is deep into automated vulnerability discovery as a business, recently interviewed not only Kurl's Daniel Stenberg, who I just quoted, but also Casey Ellis. Casey's the founder of Bug Crowd and as such is one of the people who helped establish and formalize bounties for bugs starting back in 2012.
Aikido titled their report, "Bug bounty isn't dead, but the old model is breaking."
I'm going to share what he wrote and also what my intuition immediately suggests about the nature of the change.
So they wrote, "Bug bounty has been a very hot topic lately. We're seeing high-profile programs go offline or fundamentally change. The internet bug bounty, one of the most important programs for open-source programs, is pausing submissions. Curl is removing payouts. And Node.js is removing its bounty entirely. That's not noise.
That's signal.
We wanted to understand where Bug Bounty is actually heading. So, we sat down with two of the most credible voices on opposite sides of this conversation.
Daniel Stenberg, creator of Curl, who's living the maintainer reality and recently halted bug bounty payments, and Casey Ellis, the founder of Bug Crowd, one of the people who helped establish the model in the first place.
What we found was that the bug bounty model is at a crossroads and we're in the midst of a big shift. Before we get into where the model is headed, let's take a step back and understand why it's been one of the most effective ideas in security over the last decade. It all stems from the idea of letting the internet try to break your stuff before attackers do. And it worked because it gave companies scale they could never hire. As Casey put it, quote, "If you're trying to outsmart a global pool of attackers with someone working 9 to5, the math for that is wrong." Unquote.
They said, "That's the magic of bug bounty. Instead of relying on a handful of internal people, you tap into a global pool of different skill sets, different perspectives, and different motivations. All attacking your system in ways your internal team never thought of. And that's without the significant overhead required to hire specialist experts internally and then work to keep them busy. All this explains why bug bounties became fundamental to modern security programs. What's changing now isn't is not the demand for security.
It's the economics of how bug bounties operate. AI has altered the balance and not in a good way. Finding bugs is now cheaper than ever. Writing reports is even easier and submitting them has become effectively frictionless.
Meanwhile, the cost of validating those reports and then actually fixing the issues has not changed at all. Those final two required steps, validating and then fixing bugs remains as labor intensive as ever. We are seeing this play out in practice. There are three types of report submitters.
There are those companies that use a new approach for legitimate reports. These are reports that use layered AI approaches that combine the strengths of multiple AI models, guard rails, orchestration, and context such as Aikido's own AI pentesting capabilities.
And Aikido is of course plugging their own solution as we would expect them to on their own website. But we know that Anthropic also set up the their Mythos preview system to do the same. Both are discovering and importantly verifying suspected vulnerabilities to produce much higher quality reports which in the case of Mythos include proofs of concepts of exploits. Aikido continues enumerating these three classes of bug sources. Num. So they they they said then there are individuals who escalate their research and report writing using AI as a tool. And finally there are individuals who are able to upskill by virtue of these AI models. They generate reports that seem technically plausible but are still completely wrong. Daniel described it perfectly and this is where he we we quoted him earlier saying more convincing crap is worse than obvious crap. They said you can't dismiss it quickly. You must investigate it, right?
Because it looks real. And then you waste real time getting to the proof that it's nonsense. At scale, this stops feeling like a helpful external contribution model and starts to resemble something closer to a denial of service attack on the people responsible for security. And the impact, they write, has been truly devastating. The internet bug bounty program paused all new submissions because AI has dramatically increased discovery volume beyond what their maintainers can handle. Node.js lost its bounty when funding disappeared. The reports still come in, but the payouts are gone. And Curl removed financial rewards after being flooded with AI generated reports. Casey emphasized that this isn't a new problem. It's an old one, just massively accelerated. He said, "We're doing stupid things faster with more energy."
Bug Bounty, they write, has always had an issue with being a level playing field. One person submits a report and another person has to validate it. That sounds equal on paper, but in practice, it has always been difficult for one person to keep up with validation. Even before AI existed, now it's practically impossible. We're now in a world where anyone can generate dozens of reports, make them appear credible, and submit them instantly. On the receiving end, however, the constraints have not changed. It's still humans reviewing, triaging, and making decisions. Open source has been the first to feel this impact. Open source is where the pressure has shown up first, largely because it was already operating close to its limits. Most projects are maintained by small teams, often volunteers with limited time and resources. Yet, they underpin massive portions of the web. Of course, we all think of that XKCD cartoon, right? with a little tiny block that's holding up this whole c, you know, creaky infrastructure. They said, "Add financial incentives, global participation, and now AI generated submissions and the system is quickly overwhelmed." The Internet Bug Bounty Program said it directly, quote, AI assisted discovery has shifted the balance between findings and remediation capability. translation. We're finding more bugs than we're able to handle. So now the bounty is gone. And yet the expectation of reporting remains. But the question is, is the way bug bounty programs have been used to effectively scale security teams and improve security posture still viable without financial incentives?
Bug Crowd's founder, Casey Ellis, doesn't necessarily believe so. Every organization should have a vulnerability disclosure program because if you're on the internet, people will find issues, but not every organization is in a position to run a public reward-driven bounty program. In Casey's words, Curl likely should not have had one to begin with. Casey said, "I don't think every organization should run a bounty program. The CURL program should not have been a bounty program in the first place." And yet, Daniel's experience shows something more nuanced. Daniel views the bounty program as a success because it incentivized real scrutiny of the code. He said, quote, "I've always thought about it as a success because it's a great way to actually encourage people to scrutinize the code."
So, what happens when you remove financial incentives? You'd assume that when you remove financial incentives, you'd get rid of AI slop, but that you'd also reduce the likelihood of genuine vulnerabilities being disclosed.
However, when Curl removed the financial incentives, something interesting happened. The lowquality AI generated noise largely disappeared. Daniel said, quote, "We have stopped getting AI slop security reports. Instead, we get an everinccreasing amount of really good security reports submitted in a neverbeforeseen frequency which put us under serious load."
Okay. So, I'm going to interrupt here to mention that I have a theory about why that is.
Back when discovering vulnerabilities required long hours of painstaking, grueling work to step through and reverse engineer code. It was no fun.
The only motivation, and it needed to be significant, was the promise of a big pot of gold payout at the end of that tunnel.
AIdriven vulnerability discovery has changed that. Today, AI makes bugs both fun and easy to find. It allows less skilled users to participate, thus broadening the bug hunter base, and there are plenty of people who would sincerely like to give back and contribute. until now they haven't been able to. But now they have the means.
They don't need a monetary incentive.
They truly want to help. I I think it makes sense. Aikido continues with their report, writing, "Instead of drowning in lowquality reports, maintainers are now dealing with a high volume of genuinely useful findings, many of which are powered by AI assisted research. The barrier to entry has dropped not just for bad reports but for good ones too.
But this creates a new kind of pressure.
Even highquality reports take time to understand, to validate, and to repair.
And many of these good findings still fall into gray areas. Bugs that may not meet security thresholds, but still require some attention. The result is a sustained and in some ways increased load on already constrained teams. So in a strange way, the system has not been relieved. It's been refined. And this is where it gets interesting because while this is painful in the short term, it might actually be a step in the right direction. By removing financial incentives, we strip away a large portion of the noise. What's left is a signal that is on average of higher quality, more intentional, and more aligned with actual security outcomes.
AI is lowering the barrier for researchers to do meaningful work. It's enabling more people to find real issues faster than ever before. That combination, less noise, more signal, but still overwhelming volume, suggests we're in a transition phase. The historical model is breaking under the pressure, but what's emerging underneath it might be better. This would look like a system where disclosure is expected, not incentivized.
Rewards are more targeted, not broad.
and the focus shifts from more reports to better outcomes.
We're not there yet. Right now, we're in the messy middle where the old model no longer works and the new one hasn't fully formed yet. But if this plays out correctly, we don't end up with less bug bounty. We end up with a more sustainable version of it. What we're likely moving toward is a model where vulnerability disclosure becomes a baseline expectation across the industry rather than something optional or incentivized.
Public bounty programs don't go away, but they become more controlled, more targeted, and more aligned with organizational maturity. AI will inevitably play a larger role in filtering and triaging the growing incoming volume of reports. It won't solve the problem entirely, but it will become part of how we manage it. We'll also see a shift in what gets rewarded.
As automated systems become better at finding low-level issues, the value of those findings will drop. Instead, incentives will move toward a higher impact work, the kind that requires creativity, context, and a deeper understanding of the systems. That means researchers will increasingly focus on areas like chaining vulnerabilities, exploiting business logic, and breaking complex or emerging technologies where automation may continue to struggle.
Okay, so think about this from the bounty provider standpoint. Taking curl as an example, Daniel terminates bug bounty payouts and observes an immediate drop in the total number of reports.
But it's the bogus reports predominantly that disappear, not the useful reports that describe true problems.
Given that, why would he ever resume bounty payouts? The internet bug bounty is likely to observe the same thing. As I noted, what appears to be happening is that bugs are now so much easier to discover, even fun to find and report, that it's no longer necessary to dangle a carrot. actual human altruism, which believe it or not in 2026 still exists, is now sufficient to drive what's what once required the promise of payment.
It'll take a while for this to percolate throughout the industry, but my prediction is now that the 31 years of bug bounty programs we've had ever since Netscape first offered payment for reports of bugs in Navigator 2.0 0 is probably going to wind down over time.
And the reason our programs are currently overwhelmed by good bug reports is that unfortunately they are very buggy. It's going to take a while.
I mean this is the that that that that new phase where AI is finding problems that were not is truly finding problems that were not known to exist. those will wash out of the system over the next 6 months or so and then the volume of really good reports will necessarily drop because there won't be nearly as many bugs to be found, you know, in real time. And as AI then continues to check code before it goes out the door, we're not going to have new bugs introduced into the ecosystem. I I think it's really interesting that that potentially we are talking about a major shift in the way, you know, bugs are discovered.
It won't nearly be as much for money moving forward as it has been in the past. Leo.
>> Okay. You want to take a little break?
>> I do.
>> All right.
>> And then we're going to look look at a new product from Anthropic uh which we might call u mini mythos. Mythos or Mythos Light or Mythos Junior or something. Yes. And it's available to all Claude Enterprise users now.
>> Okay. Oh, cool. You're watching Security Now, Mr. Steve Gibson. We do this show every Tuesday right after Mac Break Weekly. That's about 1:30 Pacific, 4:30 Eastern, 20:30 UTC. Uh, and you can watch it live if you really want the freshest version of it. our club members get to watch in the club, Twit, Discord, but there's also, of course, uh, tick, not Tik Tok, x.com, Facebook, LinkedIn, Twitch, YouTube, and Kick. So, pick your platform, watch us live, or get it after the fact on Steve's site, grc.com, or our site, twitch.tvsn.
We'll have more Security Now right after this.
This episode of Security Now is brought to you by Bit Warden, the trusted leader in password, Pasi, and secrets management. With over 10 million users across 180 countries in more than 50,000 businesses, Bit Warden is consistently ranked number one in user satisfaction by G2 and software reviews. With Bit Warden access intelligence, organizations can identify weak, reused, or exposed credentials and take action immediately. While vault health alerts and password coaching surface risks to individual users in real time and guide them to fix issues on the spot, turning one of the most common causes of breaches into something visible, prioritized, and fixable. And now, Bit Warden is introducing the new agent access SDK, a powerful way for developers and teams to securely integrate controlled credential access into applications, automation workflows, and AI agents. It enables programmatic just in time access to vault stored credentials without exposing sensitive data supporting secure use within modern development environments.
Now this release does not incorporate very important does not incorporate any AI functionality into the bit warden solution and maybe even more importantly does not grant AI systems persistent or unrestricted access to your vault data.
That's not the point of the agent access SDK is it's a separate open-source development toolkit designed to enforce secure humanapproved and scoped credential access for teams that leverage AI agents in their workflow.
It's available now in an alpha phase early days yet for testing but they want everybody to use it not just every bit warden customer but everybody using any password manager anywhere. The agent access SDK introduces a secure framework for how agents request, receive, and use credentials, helping define a model for safe credential interaction in agent-driven systems. And I love Bit Warden because they're giving it away.
Any password company that wants to use it can use it. It's open. Bit Warden now enables pass key login. I love this for Windows 11. Securely unlocking devices at the OS level. Of course, they have to work with Microsoft on this. they're to provide native pass key support. This will extend SSO to automatically log users into more apps, making credential management across devices more seamless than ever. And it works with Windows Hello.
Imagine never having to enter your password again. For those who want a lightweight option, Bit Warden Light offers a self-hosted password manager designed for home labs, personal projects, or quick deployments with minimal overhead. And don't worry, Bit Warden's open- source code. Besides the fact that it's on GitHub, it's GPL licensed. You can look at it yourself.
It's also regularly audited by thirdparty experts. It meets all the standards. SOCK 2, type 2, GDPR, HIPPA, CCPA, ISO 2701202.
Of course, it is absolutely secure. Get started today with Bit Warden's free trial of a Teams or enterprise plan, or get started for free across all devices as an individual user at bitwarden.com/twit.
That's bidwward.com.
We thank him so much for supporting security now. Okay, no more singing.
Back to Steve.
Yeah, I thought that was really interesting that the first bug bounty was 31 years ago. That's that's remarkable. That is really amazing.
Yeah.
>> Yeah. It's a it's a program that has worked. But I I to me it really makes sense if we have I mean finding bugs and contributing you know giving back we know that there is a lot of altruism out there in the world. Absolutely.
>> You know people who would like to contribute you know but and and so you know spending some time working with a a a security an AI enhanced uh vulner vulnerability uh finding system I think that makes just total sense. Well, that's one thing I don't think Netscape could have anticipated 31 years ago that AI would suddenly be fighting all these flaws.
>> For the intervening 30 years, it's been fabulous fabulously successful. You know, millions of millions and millions of dollars have been paid out to, you know, authentic bugs and vulnerabilities that have been found. So, the systems have working. Now, we have AI able to pick up that uh that burden and carry it forward. There's another category of people who are out of work. Bug bounty bug finders.
>> Well, that's true. It's not a probably not a career path. Although, if you are expert in running AI discovery, then you've got a new way to make some money.
>> Well, actually, that's a good point.
that Linux copy fail flaw. They found it not with the AI solely, but because a very smart security researcher pointed the AI at a specific direction and said, "Hey, I wonder if this is a problem."
And then the AI was able to go a little step further. So, it was really a partnership.
>> Exactly. Yeah. Okay. So uh uh we can add uh well it's it's a it's apppropo of the changes being wrought to AI vulnerability discovery that we have anthropics announcement uh last late late last week of clawed security which is now entering public beta for their enterprise customers. I you know we could think of it as mythos junior uh and that's sort of how they're casting it. Here's what Anthropic uh posted about this. They said, "Claw security," which is what they're calling it. Clawed security is now available in public beta to claude enterprise customers. AI cyber security capabilities are advancing fast. Today's models are already highly effective at finding flaws in software code. The next generation will be more capable still and will be particularly effective at autonomously exploiting these flaws. Now is the time for organizations to act to improve their security, preparing for a world in which working software exploits are much easier to discover.
Recently, we made Claude Mythos preview, which can match or surpass even elite human experts at both finding and exploiting software vulnerabilities, available to a number of partners as pro as part of Project Glasswing. But our cyber security efforts go beyond glasswing. With Claude security, a much wider set of organizations can put our most powerful generally available model claude opus 4.7 to work across their code bases.
Opus 4.7 is among the strongest models available for finding and patching software vulnerabilities and for discovering complex context dependent issues that might otherwise be missed.
Claude security, previously known as Clawude Code Security, has already been tested by hundreds of organizations of all sizes in limited research preview, helping teams scan their code bases for vulnerabilities and generate targeted patches. Their feedback has shaped today's release, which makes Claude security available to all enterprise customers. It comes with scheduled and targeted scans, easier integration into audit systems, and improved tracking of triaged findings. No API integration or custom agent build is required. If your organization uses Claude, you can start scanning today. Opus 4.7's capabilities are also being brought to cyber defenders through Claude's integration into software tools that many enterprises already use. Our technology partners including Crowdstrike, Microsoft Security, PaloAlto Networks, Sentinel 1, Trend AI, and Whiz are embedding Opus 4.7 into their tools. In addition, services partners like Asenture, BCG, Deote, Infosys, and PWC are now helping organizations deploy clawed integrated security solutions.
We're entering a pivotal time for cyber security. AI is compressing the timeline between vulnerability discovery and exploitation. We believe the right response is to make sure defenders have access to frontier capabilities in the ways most accessible to them through Claude directly and through our partners. Claude security can be accessed directly from the claude.ai sidebar or at claude.ai AI/Security.
To begin, select one of your repositories or scope to a specific directory or branch. Then start a scan.
While scanning, Claude reasons about code much like a security researcher.
Rather than finding vulnerabilities by searching for known patterns, Claude seeks to understand how components interact across files and modules, traces data flows, and reads the source code. Once complete, Claude provides a detailed explanation of each of its findings, including its confidence that the vulnerability is real, how severe it is, its likely impact, and how it can be reproduced. It also generates instructions for a targeted patch which users can open in clawed code on the web to work through the fix in context.
It just sounds fantastic. Over the past two months, we've refined Claude security in line with what we learned from its use in production across hundreds of enterprises. Specifically, we've seen that detection quality is paramount. Teams have told us that high confidence findings are what really accelerates security work. Claude Security's multi-stage validation pipeline independently examines each finding before it reaches an analyst which drives down false positives and Claude attaches a confidence rating to every result. This means that the signal that reaches the team is worth acting on. Time from scan to fix is the metric that matters. Early users pointed to this consistently with several teams going from scan to applied patch in a single sitting where instead of days of back and forth between security and engineering teams. Teams want ongoing coverage, not oneoff audits. We've added the option to schedule scans so teams can set a regular cadence around reviewing and acting on findings. With this release, we've also added the ability to target a scan at a particular directory within a repository, dismiss findings with documented reasons so that future reviewers can trust prior triage decisions, export findings as CSV or markdown for existing tracking and audit systems, and send scan results to Slack, Jira, or other tools via web hooks.
Okay, given the windup we've seen from Mythos over the past month and the way they described this, I cannot imagine why any organization whose software might contain external exploitable vulnerabilities or bugs would not be jumping on this with all possible speed. As I noted a few weeks back, an organization's own internal software is only closed source to the outside world. To the organization, their own source code is wide open and there is now an emerging tool that stands a good chance of discovering bugs that have until now escaped notice. I I would love to be a fly on the wall in the software development dungeons of the world's enterprises, you know, watching their reactions to what they begin seeing from this clawed security. Ba basically this is anybody is now able to purchase a mini version of Mythos. Um, and and I would argue that that if Mythos is even better that at finding bugs, there's still benefit from from running this Mythos Junior, you know, cloud security over your codebase to see if it's able to find something. Certainly, if it can, Mythos would. Mythos may be available in the future. Well, we we presume it will be at some point, but you have this now.
So I I think this is, you know, a maybe in retrospect a a predictable uh evolution on anthropics part, but certainly welcome.
>> I do this uh anyway. I mean, I don't have mythos or anything like it. I just have the regular, you know, Claude Opus 47 and Chat GBD55. And I always say, in fact, I often have ChatGBT check Claude's work and Claude check ChatGBT's work. Yep. Cross. Uh I I frequently say let's do a security audit on these uh on these repositories. I mean that by itself is useful. I found all sorts of stuff. I've also had it done security audits on my systems and it's found errors and and corrections there too.
It's a you know just the regular models are useful. I can't wait to see how Mythos does. Yeah.
>> Yeah. And I I I think what what from what they've said, what this adds is the ability, for example, to to uh schedule scans so that your your your your engineering uh software development team, they're they're just working along and then periodically the the the code base is given a a a scan and a check to see if anything significant uh has been found.
>> That's a great idea. I think that's that's brilliant.
>> Okay, so uh OpenAI uh announced that they've decided I was very impressed by this. I'll just I'll just say ahead of time to make account login security a selling point. Uh their posting was titled introducing advanced account security. and they explain, "Today we're introducing advanced account security, a new opt-in setting for chat GPT accounts. And you've got it now, Leo. Designed for people at increased risk of digital attacks as well as for those who want the strongest account protections available. It brings together a set of heightened security measures that help safeguard against account takeover while making those protections easier to activate in one place. Once enrolled, advanced account security protects users in codecs as well.
They wrote, "People are turning to AI for deeply personal questions and increasingly highstakes work over time.
A chat GPT account can hold sensitive personal and professional context and sit at the center of connected tools and workflows. For some people like journalists, elected officials, political dissident, researchers, and those who are especially security conscious, the stakes are even higher.
This effort is part of our broader cyber security action plan to broaden access to the technologies that can help protect communities, critical systems, and our national security. We want users to have the controls to make the security and privacy choices that are right for them. At the same time, we want to ensure users understand, here's a critical part. Understand that the increased protection of advanced account security comes with an increased responsibility for account recovery.
And so now they get specific. Advanced account security brings together a series of controls that strengthen sign-in protections, tighten account recovery, reduce exposure from compromised system sessions, and give users more visibility into account activity. It's available to opt into in the security section of users chat GP accounts on the web. Protection applies to both chat GPT and codeex accounts that are accessed through that login. So we have stronger signin methods.
Advanced account security requires pass keys or physical security keys while disabling passwordbased login. help helping make fishing resistant signin the default for people who need it most. So password-based login gone. You must use a pass key or physical security key.
Next, more secure account recovery.
If a user's email account or phone number is compromised, an attacker may try to use one of them to gain access to their chat GPT account via email or SMS-based recovery. We know that, right?
They say to reduce this risk, advanced account security disables email and SMS recovery and requires stronger recovery methods, backup pass keys, security keys, and recovery keys.
Because account recovery is restricted to these more secure methods, OpenAI support will not be able to assist with account recovery for users enrolled in advanced account security. Again, with heightened with truly heightened security comes much more responsibility.
You know, they're saying we can't help you because you don't want bad guys posing as you to get help from us either.
So, you know, now we're talking. You know, I hopefully this sort of much more responsible security becomes more commonplace. Now, the only gotcha, of course, is that it makes users entirely responsible for the security they claim to want and to cherish by explicitly removing email and SMS account recovery loops. The most common fishing and other attacks will be thwarted, you know, but you know, I could see in the case of chat GPT login, this makes sense. Uh, OpenAI explains two additional security enhancements, writing shorter sess management.
Sign-in sessions are shortened to reduce the window of exposure if a device or active session is compromised. Users also receive alerts when there is a log to their account, and they can review and manage the active sessions across the various devices they're signed into.
And finally, automatic training exclusion. People working with especially sensitive information may opt to not have those conversations used for model training. With advanced account security enabled, that preference is automatic. Conversations from those accounts will not be used to train our models.
They finish saying, "Using physical security keys such as Yuba Keys is one of the strongest defenses against fishing. To make that level of protection easier to access, we have partnered with Ubico, a leader in hardwarebased authentication and account protection to offer our users preferred pricing on a customized bundle of the best-in-class security keys. The Ubi C Nano is designed to stay in your laptop.
you know, it you stick it into a USB uh port and it's just it's its head just basically tucks out a little bit. So So you're able to touch the the the little gold metal uh uh convex uh head of it in order to authenticate.
um and they said for for low friction daily authentication and the Ubi C NFC for backup and use across laptops and mobile devices. We're launching this partnership as part of advanced account security, but the bundle will be available to all eligible users in their security settings on the web so more people can adopt stronger fishing resistant account protection. Users will also be able to use other phto compliant security key or use softwarebased pass keys. So I logged into chat GPT which I I am no longer using as my daily driver.
You know uh I've switched to Claude after appreciating how confused an AI's context window would become if I were to share it with my wife Lori. So now we each have our own. Um once I was there in chat GPT, sure enough, the security panel um uh of the settings dialogue now has many new features. And I think this is great. I expect to see this sort of enhanced security become a standard feature to more rigorously I mean like across the industry to more rigorously protect the potentially very highly sensitive dialogues that many people are having with their AI chat bots. You know, once you appreciate, which Claude recently made explicitly clear, that the entire history of your conversation is by default retained for use in creating a conversational context. The importance of more tightly controlling its act its access becomes uh I think very clear.
Okay. the uh before we get into our main topic, I did want to update everybody on something that I just discovered about Sync Thing and Sync Traaser. Uh, of course, we've spoken often about Sync Thing. You know, both Leo and I and many of I of our listeners I know are huge fans. Sync Traor TR R S Y N C TR R A Y Z O R is a terrific little Windows gooey wrapper that turned Sync Thing into more of a Windows app. Uh in the words of its creator, he said, "Sync Traaser is a little tray utility for sync thing on Windows. It hosts and wraps sync thing making it behave more like a native Windows application and less a command line utility with a web browser interface. Features include has a built-in web browser so you don't need to fire up an external browser.
Optionally starts on login so you don't need to set up sync thing as a service.
Has Dropbox style file download and progress window. The tray icon indicates when synchronization is occurring.
Alerts you when you have file conflicts, one of your folders is out of sync.
Folders have finished syncing and devices connect and disconnect. Has a tool to help you resolve file conflicts.
Can pause devices on metered networks to stop sync thing transferring data, for example, on a mobile connection or a Wi-Fi hotspot and contains translations for many languages. Anyway, I've been using both of these for years. Sync tracer, which contains Sync Thing, and I hope to continue doing so. As we mentioned, Sync Thing can also be installed into the Sonology NAS, and I've been using it there for many years uh ever since my first Drobo died and I got a Sonology to replace it. And I at that point, I as I said, I switched to Sonology. Sync Thing works perfectly there as well.
I'm mentioning all of this since Sync thing on Windows 10 has been noting that version 2.06 has been available for some time. Um, since I heard from several of our listeners that the major version two of Sync Thing is fully backward compatible with version 1.3, which was where version one left off and which is where I'm still stuck on my Windows 7 machine because it won't run anything after version 1.3. I decided it was time, you know, to quiet down that new version available notice. But when I updated sync thing, um, it complained about an unknown command line switch, meaning that the way sync thing was being launched by Sync Traaser, it wasn't familiar with. Um, the pro the trouble of course was that the version of Sync Traaser I had uh was also out of date.
So I updated it. That's when I learned that Sync Traaser's creator had abandoned his baby last August when he archived his GitHub project. At the time, he wrote, "I stopped using sync thing some years ago, and I'm afraid I don't have the time to maintain it.
Sorry. German coding has kindly forked it as syncraaser version two and is continuing development and this fork is recommended by sync thing. Please switch to sync traaser version two after determining that you trust the fork. So I first verified that the that the sync thing project does indeed still recommend um the use of this forked sync tracer 2 and indeed they do it is re recommended among their contributed software. Um uh so I wanted to let e everyone who's been happily using sync thing know that indeed uh major version cross compatibility works. I've got sync thing two now in one location on Windows 10 and sync thing 1.3 on still on Windows 7 until I shut down this uh workstation and consolidate my locations which I'll be doing in over the next couple months.
Uh I ran the new installer for for Sync Traaser 2. It saw that there was an older version available, offered to upgrade. It did that. Everything went smoothly. uh and everything is working now perfectly. So I just wanted to uh make a note for those people who have maybe Windows users using sync thing. If you don't know about sync traaser, it's a neat little wrapper and if you do uh you are able to update and everything works great.
>> You don't have to use it though. I mean you can use sync thing directly of course.
>> Absolutely. You're able to use sync thing and set it up as as a Windows service and it and it just works by itself.
Uh let's uh take a timeout before we get to the subject, the browser AI API.
>> You know, there was a story, I don't know if this is related, uh that came out earlier today that um Chrome is automatically downloading a pretty pretty hefty AI model and you can't stop it.
>> Not so nano.
>> Not so nano. I don't know if that's related. Maybe it is.
>> It was it was initially 22 gigs. I think they got it down to 4.7.
I know, I know, I know.
>> Okay.
Um, you kind of have to have Chrome, unfortunately. For instance, I'm using Chrome right now because the Reream, which is what we use for this show, uh, works best with Chrome. I'm a Firefox user, but, uh, I have to have a copy of Chrome and I have to have a 4 gigabyte copy of Nano is along with it.
>> Oh, well, we'll take a little break.
We'll talk about this in uh, and more in just a bit. You're watching Security Now with Steve Gibson. But first, this word.
This episode of Security Now brought to you by Hawk Hunt as a security leader.
You've been there. The eye rolls during training.
The one-sizefits-all fishing simulations that your employees spot from a mile away. And the report button that gets ignored more often than not. Your programs are running, but it ain't changing employee behavior. Meanwhile, AI is making real attacks more convincing by the day, and leadership is starting to ask the question you don't have a clear answer to. Is this actually working? Well, Hawk Hunt empowers your employees to spot and stop advanced fishing attacks to drive measurable behavior change through personalized gamified micro training powered by AI and behavioral science. And by the way, as an admin, you'll love it. Hux Hunt does all the heavy lifting. Simulations run automatically, not just in email, but in Slack and Teams, too. They're personalized to each employee, just like the bad guys, based on role, location, and behavior. And every simulation uses AI to mirror realworld attacks, meaning your employees are being tested on what's actually getting through, not some outdated template they recognize immediately. Gamified training keeps the engagement high without feeling punitive. And because every interaction generates a coaching moment, you're not just tracking completion. You're actually building behavioral indicators that tell a real story. Reporting rates, repeat clicker reduction, and time to report. The kind of metrics that hold up when leadership asks you the hard questions. But you don't have to take my word for it. With over 3,500 verified reviews on G2, Hawkside is the top rated security training platform, recognized for best results and easiest to use. is also recognized as customers choice by Gartner and thousands of companies like Qualcomm, Docusign, and Nokia trusted to train millions of employees worldwide.
Visit hawkhunt.com/security now today to learn why modern secure companies are making the switch to hawkhunt. That's hawkhunt.com/security.
Thank you so much for supporting Steve and the work he's doing. And now back to the work he's doing. Uh actually back to our discussion of uh Chrome and AI on security now. Steve.
>> Yeah. So uh turns out and this is actually exactly on point for this this nano LLM. Uh Google is planning to define a new API to bring AI into our browsers.
Uh this was ser this would serve as an interface to large language models existing outside the browser um or brought in by the browser. Google appears to be mostly targeted at local LLMs but support for cloud-based LLM is present too. So this would be a means for allow just to make this clear for allowing web pages or browser extensions to invoke a users's local or remote large language models for many purposes such as locally reading and summarizing a web page's content uh proofreading a webpage document being edited or reading through someone's web mail to produce summaries or take action.
In other words, it would create a JavaScript API large language model prompting interface.
Now, not everyone thinks this is a good idea and many of those not everyone's includes end users who feel uncomfortable with this creeping trend toward AIifying everything. An early instance, an example of this which we covered at the time was Vivaldi browser's CEO John Vont uh Tetner who said we don't see AI as something that our users are asking for rather the opposite. I think a lot of people are reacting to force-fed AI.
John cited as a no thanks example Microsoft's recall compiling a long-term history of everyone's desktop screenshots every five seconds giving recall the label of AI now seems sort of quaint in today's uh world we've come a long way in a short time uh Tetner said that quote the future of browsers is about who controls the pathway to information and who gets to monetize you unquote, which frames the race to insert AI into our browsers as a power grab more than as a feature competition. So, the thing that put this on my radar last week was seeing that Valdi's John von Tetner has some other company, notably Mosilla. In a posting to Blue Sky last Thursday, April 30th, Mozilla's Jake Archeald wrote, "Chrome looks to set I'm sorry, Chrome looks set to ship an LLM prompt a API to the web platform. At Mosilla, we oppose this API.
We feel it has a large interoperability risk and Google imposing terms and conditions on a web API sets a dangerous precedent. Okay, now Leo listen to this.
Before I go any further, I want to touch on those terms and conditions since that alone is a deal breakaker for me. Last week in a thread in Mozilla's GitHub account, Jake wrote, "According to Google, according to Chrome's documentation, to use the prompt API, you must acknowledge Google's generative AI prohibited uses policy.
Elements of this policy go beyond law.
For example, do not engage in generating or distributing content that facilitates sexually explicit content.
Do not engage in misinformation, misrepresentation, or misleading activities. This includes facilitating misleading claims related to governmental or democratic processes.
Uh so here we have a proposed web browser API that implicitly contains acceptable use policy.
This would be like a web browser refusing to display controversial four-letter words on the grounds that someone might be upset by what a website might wish to have their browser display. Hearing this causes me to want to select a couple of four-letter words myself. This is so wrong.
>> Yeah. Now, this is the system prompt though for the AI, right?
>> Um, well, no, there is a system prompt for the AI which is part of the API.
>> Yeah. But but but so so this is this is saying that the use of the prompt API by JavaScript running in the browser must acknowledge these ex this acceptable uses policy.
>> It I mean because it sounds more like the kind of thing you tell an AI not to do and that's this is for developers. This is the rules of the road.
>> This is for developers.
So I just thank God we have respected developers at Mozilla to push back and I hope this also comes to the attention of the EFF because this is seems wrong.
Okay. So to obtain some pro and con balance here, let's first look more closely at what this new so-called prompt API that that's the name that they're giving it, the prompt API that Google has already implemented and moved into Chrome. It's already in Chrome, which is why Leo, you noted that this multi- gig download is happening because they're also downloading a model, their nano, the so-called nano model. Um, the explainer for this nent feature says, and so this is now Google speaking this explainer and the and the accompanied draft report are in active development by the web machine learning community group. Community group members are seeking feedback and they're getting some seeking feedback and support for this proposal to gain working group and implement adoption. Implementations are experimentally available in Google Chrome and Microsoft Edge. Browsers and operating systems they write are in order to set the context here. Browsers and operating systems are increasingly expected to gain access to language models. Okay, I didn't know that, but okay. Language models are known for their versatility.
With enough creative prompting, they can help accomplish tasks as diverse as we have some bullet points. Classification, tagging, and keyword and keyword extraction of arbitrary text.
Helping users compose text such as blog posts, reviews, or biographies.
Summarizing, for example, of articles, user reviews or chat logs, generating titles or headlines from article contents, answering questions based on the unstructured contents of a web page, translation between languages, and proofreading. In other words, all of the things I mean like AI in your browser things that Vivaldi said, I don't know if we want to jump into that just yet.
They said the Google Chrome, Microsoft Edge, and the web learning m web machine learning community group are exploring purpose-built APIs for some of these use cases, namely translator, language detector, summarizer, writer, rewriter, and proofreader. This proposal additionally explores a generalpurpose prompt API that allows web developers to prompt a language model directly. This gives web developers access to many more capabilities at the cost of requiring them to do their own prompt engineering.
Currently, web developers wishing to use language models must either call out to cloud APIs or bring their own and run them using technologies like web assembu usually through JavaScript runtime frameworks. By providing web platform API access to the browser or operating systems existing language model, we can provide the following benefits compared to cloud APIs.
local processing of sensitive data, for example, allowing websites to combine AI features with end-to-end encryption, potentially faster results since there's no server roundtrip involved, offline usage, lower API costs for web developers, and allowing hybrid approaches such as free users of a website to use ondevice AI, whereas paid users use a more powerful API based model. Okay, now I'll I'll just interrupt here to note that those seemingly I I don't know those to me they feel like madeup reasons, you know, local processing of sensitive data, for example, allowing websites to combine AI features with endtoend encryption. I get the local processing angle. That's potentially valid, but the endtoend encryption part makes little sense to me in this context. We already have TLS connections with all websites and we have decades of history and experience with making TLS privacy and security bulletproof. Then there's potentially faster results since there's no server roundtrip involved. They cite.
Okay. So, the assumption here is that a local potentially underpowered LLM is going to outperform an LLM in these monster data centers that are being frantically built today.
All of everything I'm seeing says that the cloud blows away local LLM and so on for the remaining three benefits. You know, our browsers already do have the ability to query cloud-based LLMs using the triedand-true XML HTTP request API, which has been around forever, or the more recent fetch API.
And both of those offer state-of-the-art mature security and privacy protections.
So, what really appears to be going on here, uh, is for Google to be engineering a means for their Chrome and other Chromiumbibased browsers, notably Edge from Microsoft, to access non-cloud-based LLMs since everyone can already do that, that is can already access cloud-based LLMs. Their explainer continues writing, "Compared to developer supplied model approaches, using a built-in language model can save the user's bandwidth, storage, and memory resources while using a model that's optimized for the device. This pattern can also provide a lower barrier to entry for web developers by removing the need for developers to serve models and manage their dependencies.
Okay. Now, I'm not sure that that makes sense to me. Again, this presumes that any and all large language models are identical and interchangeable and that the the web developer doesn't care which one they're interacting with. They're just using a generic LLM that the user has provided to their browser. You know, today that's already not the case. I mean, it's already not the case that all LLMs are identical and interchangeable, and I expect model design and capability to diverge more as we move into the future rather than converge. Of course, we'll see how that goes. So, next, Google's explainer clearly states its goals. Our goals are to provide web developers a uniform JavaScript API for accessing browser provided language models of varying capabilities.
Encapsulate model management and execution details as much as possible.
For example, for downloads, updates, templating, and parsing. Guide web developers to gracefully handle failure cases. For example, no browserprovided model being available.
I guess by always having one. Develop formal implementation guidelines and definitions. For example, initial ondevice models and possible cloud services. The following are explicit non-goals. They said we do not intend to force every browser to ship or expose a language model. in particular. Not all devices will be capable of storing or running one. It would be comforting to implement this API. I'm sorry. It would be conforming. It would be conforming to implement this API by always signaling that no language model is available. In other words, that's acceptable. It may also be viable to implement this API entirely by using cloud services instead of ondevice models. We do not intend to provide guarantees of language model quality, stability or interoperability between browsers. In particular, we cannot guarantee that the models exposed by these APIs are particularly good at any given use case. These are left as quality of implementation issues similar to the shape detection API.
The following are potential goals we're not yet certain of. Allow web developers to know or control whether large language inter model interactions are done on device or by using cloud services. This would allow them to guarantee that any user data they feed into this API does not leave the device which can be important for privacy purposes. Similarly, we might want to allow developers to request ondeviceonly language models in case a browser offers both varieties.
Allow web developers to know some identifier for the language model in use separate from the browser version. This would allow them to allow list or block list specific models to maintain a desired level of quality or restrict certain use cases to a specific model.
And then finally they said both of these potential goals could pose challenges to interoperability. So we want to investigate how more important such functionality I'm sorry investigate more how important such functionality is to developers who fi to find the right tradeoff. So in other words we in the world are not yet uh necessarily ready for this or in need of this. So, we're unsure how it should work exactly, but we're going to charge ahead because this will be better than nothing. You know, essentially what this comes down to when you strip it away is Google and as you started with this, Leo, Google wants to add a 4 gigabyte actually it's 4.7 is the number I saw down from 22 which it was earlier. a a massive language model to Chrome so that Chrome will become uh AI enabled intrinsically and that would allow Chrome hosted web pages to do lots of things they can't now.
So, okay. Uh, today's web browsers are littered with yesterday's great ideas that while they may have never achieved critical mass, must still be present and supported since random websites scattered around the world still use them. As one example, uh it may not be fair to single out Flash since it did have its day. Uh there was a time when you could only do things with Flash that you wish you could do on the browser, but the but JavaScript and scripting in general had not caught up. But boy was Flash difficult to kill off. And in some places, even today, it won't die. As I look over the prompt API implementation section, I can I can um empathize with Mosilla's gut reaction since this does seem sort of well both obvious but also forced and a bit unnatural. For example, this API defines a specific system prompt as they call it. The specification says the language model can be configured with a special system prompt which gives it the context for future interactions. The system prompt must be the first message whether passed via the initial prompts option to the create function or as the first message to the first prompt or append method calls.
We then see three examples of these various semantic options that that they just described. The first one shows where a a a constant variable session one is set to the the large language model.createf create functions output where the initial prompt uh the the init the um the initial prompts system prompt is prepend pre pretend to be an eloquent hamster and then we we have uh the we log to the console the output of that that large language model was just created being prompted what's your favorite food. So, of course, an eloquent hamster is going to respond to the question, "What's your favorite food?" I guess that's what lettuce. I think that's what I think that's what hamsters like.
>> Anyway, >> it's an eloquent hamster, which is a different matter entirely.
>> That's right. It might be lettuce with caviar. Yes. Anyway, uh my reaction to all of this is that web standards are too important to be created in any halfbaked fashion. And Mozilla apparently feels that it's too soon to do this. Once a web standard exists, as we know, we've seen this over and over, it is incredibly difficult to deprecate it since, as we saw with Flash, someone somewhere will be using it. Browser bloat and the security implications of that are very real problems.
>> Google has never held back though, right, in unilaterally declaring web standards.
>> This is they say, well, you know, we're the dominant browser. we can do whatever we want and I understand Mozilla's reluctance to go along for the ride and I think people are not going to be happy about 4.7 gigabytes being downloaded to their uh hard drive >> it's really going to change the the whole complexion of Chrome >> yeah it's becomes massive I can understand why Google may say oh well maybe for spellchecking or local grammar or something you you know uh developers might find a use for this but it is a little I think I think Mozilla is right.
This is premature. There's no reason to uh be doing this now. No, there's no demand for this now. I don't think is there.
>> No, it no. Um and there I mean the what I guess what they're they they recognize that you can do this in the cloud now.
Brow browser pages are able to reach back out to the cloud and talk to a large language model that's going on already. They're saying, "Well, but we want, you know, we've got this cool technology. We've managed to squeeze a large language model down to 4.7 gig. We want it in the browser because we can because we own the browser."
>> Right. Right. And we might imagine down the road some use.
>> Yes.
>> It's hard for me to imagine what that use is, but >> Yeah. I I agree that would that would justify this. So Google's working specification goes on and on and on and it's all extremely specific to the application of today's LLMs. They are creating something as important at an industrywide, you know, as an industrywide specification for what could just be the moment we're in today.
I mean, to me, that's the problem is that none of this has gelled yet. I mean, it's it is still a moving target.
So, the idea of APIing it to create a web standard seems premature and misguided. Um, anyway, I've dropped the URL of Google's full specification into the show notes. It's at the top of page 20 for anyone to follow up who may be interested. I want to now switch to Mosilla's response. Um, I have the rather dry conversation thread in Mozilla's GitHub account under it. It's under their standards positions. Uh so I've dropped that URL into the notes also. But since this podcast endeavors not only to inform but also to entertain our listeners rather than sharing Mosilla's dry recitation, ah yes, I want to share the register's typically feisty and irreverent take on this controversy. Uh Leo, let's take our final break and then we're going to look at the flip side of what's going on.
>> I can only imagine what the regge has to say about this. I'm trying to give Chrome the benefit of the doubt, but this is the problem. This is my problem.
Been my problem with Google for a while now. They don't go to the IETF or W3C and say, "Here, we want to do a standard, you know, let's get everybody involved."
>> It's already in there.
>> Yeah. They're so big. They're so dominant. there's something like 90% of the browser space >> that they can just do it and it becomes a deacto standard. So I'm I'm with you.
I'm not necessarily against the idea.
And it sounds like in their spec they're saying well it doesn't have to be our model. It doesn't have to be Gemma. It could be something else. But I I don't I don't know if there's a demand for this.
And I know people are going to be very upset. I already see the upset over this giant download. And you don't get a choice. You can't turn it off, >> right? It it comes with Chrome now. All right. Well, let's take our uh our final break and we'll be back with Mosilla's response as seen through the filter of the register. You're watching Security Now with Steve Gibson. More in a moment.
This episode of Security Now brought to you by Trusted Tech. If you're managing Microsoft 365 for your company, you are responsible for both the cost and whether it's set up correctly. And I think you might already know on July 1st, Microsoft's raising prices. So any mistakes in your licensing are about to get more expensive. Most companies using Microsoft 365 are either overlicicensed, paying for unused seats and features, or underlicensed, creating compliance and security risks. Sometimes it's both. The result is wasting thousands, sometimes tens of thousands per year on tools your team doesn't use or worse, I guess, missing critical security features you thought you had. You got to get this just right. And that's why you need trusted tech. Trusted tech helps businesses understand what they have, what they actually need, and how to lock in the right setup now before the costs go up. Their team ensures your M365 environment is well supported and aligned with how your business actually operates. And if you need ongoing help, they also offer reactive support for your Microsoft environment through their certified support services.
Microsoft licensing is, I don't think I have to tell you, constantly changing.
E3 versus E5 versus Business Premium.
There's add-ons, the new E7. It's confusing and easy to misconfigure and overpay. And licensing mistakes don't just cost money. They create compliance exposure that's going to get more expensive after July 1st. So even if you think your licensing is dialed in, it's it's absolutely worth the second look.
And no one can do it better than Trusted Tech. Just ask Kevin Turner, you know his name, former Microsoft COO. This is what he said when he talked to Trusted Tech. He said, "You, Trusted Tech, you have an incredible customer reputation, and you have to earn that every single day. The relentless focus you guys have on taking care of customers gives them value and differentiates you in the marketplace." End quote. He was impressed. You will be, too. Now, remember, after July 1st, you're stuck paying more. This is the last chance to fix your licensing before costs go up.
Trusted Tech is offering a free Microsoft 365 licensing consultation right now. Visit trustedtech.team/security now365 to get a clear databacked view of your current licenses, what you're wasting, and how to lock in savings before the price increases. Go to trustedte.team/security now365 and submit a form to get in contact with Trusted Tech's Microsoft licensing engineers. I'm going to say it one more time. Write this down. trusted tech.team/securityynow 365.
You got to do it now. trusted tech.team/security 365. Now back to Steve. Uh, and back to our conversation. And actually Darren Okei, who is of course, as you know, uh one of our most avid AI users in the uh Club Twit Discord, says he thinks this may be the most important thing to happen to browsers since AI. He thinks it's it's it's really uh important. I'm not sure I agree. I mean, I could see there's some potential.
>> It's a huge change to our browser.
>> It is a big change. I guess that's the that's nobody disagrees about that. And I think it's also the case that Google is forcing this uh instead of proposing it. And I don't like that either. I but I didn't like it when they forced HTTPS down our throat.
>> Well, and you don't always get the right design when one person does it. That that's why you know so much of what's is done correctly is a collaboration. And you know, Mozilla has, you know, even though Firefox is a diminishing percentage of the desktop space, Mozilla as a company has been in at the forefront of of the all of the standards work for ever.
>> Yeah. We talked to the the CEO of Mos the Mozilla Foundation a few weeks ago on intelligent machines and even then at the time, and this is before they'd added that little switch, he said, "We're going to be very judicious about AI in our browsers." And now they actually have a switch that says disable all AI features, >> right?
>> Uh this is a switch most notably Google is not offering in Chrome. You cannot disable this.
>> Okay. So I'm going to share the register's typically feisty and irreverent take on this controversy. Uh they also supply a great deal of additional useful background. Uh, and when we see that their headline is quote, "Firefox maker torches Google for building prompt API into browser." Well, you know, it's going to be good. The register wrote, "Jake Archabald, Mosilla web developer relations lead, articulated the organization's concerns in a GitHub discussion of the API, which provides a standard way to send and receive prompts and responses from a local machine learning model." Archabald wrote, quote, "We continue to oppose this API and feel it has severe negative consequences to the interoperability, updatability, and neutrality of the web platform," unquote. The register writes, "The prompt API, as Google describes it, quote, gives web pages the ability to directly prompt a browser provided language model. specifically and here it comes. It provides a way to send natural language instructions to Google's Gemini Nano model which is small enough to be downloaded well okay for local inference through Chrome however writes the register it's not small Google recommends having 22 gigabytes of space available although the Nano V3 Nano model for desktop use is 4.2 27 gigabytes. Web developers already have a variety of ways to interact with AI models. They can use cloud service APIs to communicate with hosted models or they can access local models through technologies like JavaScript runtime frameworks, web assembers like OpenAI and Perplexity have shipped browsers that embed access to remotely hosted AI models. Mosilla itself is testing an AI based smart window in Firefox and is developing tools for AI model scaffolding.
The prompt API aims to make it easier to run local inference in a way that takes advantage of browser security mechanisms to produce faster response times to allow offline usage and to provide more cost-effective ways to integrate AI services. for example, providing a free AI fallback if users lack a paid API key. Okay, now so that's interesting.
That suggests that Google wants us to register our LLM AI provider accounts with our browser so that random websites we visit will be able to submit their prompts to our AI account. This brings to mind the famous rhetorical question, "What could possibly go wrong?" The register continues, "Mosis's concern, as articulated by Archabald, has to do with what the prompt API means for the web, not to mention Google's justification for deployment. First, he worries that Google's own nano model will become the default and that developers will standardize on it in an effort to make the non-deterministic responses of an AI model more predictable. That tendency, he argues, will create pressure for Apple and Mosilla to license Nano for the sake of a common user experience.
Perhaps more significantly, Archabal notes that using the prompt API requires agreeing to Google's generative AI prohibited uses policy, which prohibits activities that are not necessarily illegal, like generating disturbing content.
I'll just pause to say, who determines what content is disturbing? There is nothing that attorneys love more than ambiguous language in contractual agreements. It's a built-in full employment guarantee. The register quotes Jake saying, "This seems like a bad direction for an API on the web platform and sets a worrying precedent for more APIs that have browsers specific rules around their usage." Amen to that. Anyway, the register continues.
Finally, Archerald argues that Google misrepresented demand for the API by cherrypicking a few a few social media posts and calling that a ground swell of developer support. Jake posted, quote, "The intent to ship on BlinkDev states web developers as strongly positive and links to the explainer for evidence." The evidence provided there does not seem to fit the claim," unquote. In an email, Archabald wrote Archabald told the register that the question is whether the prompt API is good for the web and Mozilla doesn't believe it is. Jake said, quote, "The core problem is interoperability.
Prompts are tightly coupled to models.
Developers will inevitably tune to the quirks and policies of whatever model they're building against. That's how you end up with model specific code paths, which is the browser compatibility problem all over again." The terms and conditions issue is part of that. If using a web API means accepting a specific vendor's content policy, especially one that goes beyond the law, you're not really building for an open platform anymore," unquote. And and just just to pause, what he means is remember those days where JavaScript had to determine which browser it was in and then would do this code for IE, that code for Firefox, this code for Safari, and that code for Chrome. Those were no those were not good days. Anyway, the register says with regard to Google's exaggeration of developer enthusiasm, Archerald said there are definitely devs interested in AI capabilities, but Google failed to provide evidence of that. The signal is polarized, not strongly positive. But either way, developer demand alone does not meet the bar. The question is whether the API can work across implementations without tying the platform to one vendor's model.
Google did not immediately respond to request for comment. However, on Thursday, Rick Buyers, the Google Chrome engineer responsible for shipping the prompt API, chimed into the GitHub discussion to acknowledge the concerns articulated by Archabal. To his credit, he wrote, quote, "As one of the Blink API owner approvers approvers for shipping this in Chromium, I admit that I share the concerns here in Mosilla's standards position. Where I differ is in preferring paths that promote experimentation. Uh-huh. Learning from mistakes and competition to those which heir on the side of stalling innovation out of fear of what might happen.
Right. That's a perfectly articulated response to the more cautious we should wait a bit to see what happens stance.
The register concludes their piece by writing, "Buyers asked the web community to help collect evidence of harm to advance the discussion." Pointing to the debate over other controversial web technologies like encrypted media extensions, remember EM suggested the outcome has not been as desire as was predicted. But focusing on data so far has not done much for Google's cause.
According to a report created in February that compares the performance of Chrome with Gemini Nano and Edge with 54 Mini Instruct using the prompt API these models do not provide very good results. The report says quote for generative tasks composition tag generation etc. 24.29% 29% edges and 15.17% of Chrome's responses failed to complete the task at all. This is in reference to a rubric that defines failure as a score of two or less on a scale of 1 to five.
For classification tasks, 29.58% of edges and 23.93% of Chrome's responses did not label or categorize input correctly. So, it's often also wrong. They finish with the report's conclusions, noting in terms of groundedness and accuracy, Edge failed, which is to say hallucinated 17% of the time, while Chrome failed 6% of the time. Is that good for the web? You could ask Chrome, but you might not get a reliable answer. And that's how the register signs off. So, >> burn.
So, where does this leave us? Uh, I guess it leaves me more happy than ever that I've stuck with Mozilla. Uh, I look at what Chrome at what Google now presents us on a page of search results and it becomes clear that we are the product. You know, I search for something specific and sponsored. uh you know instead of what I ask for I get uh sponsored interception advertisements that that are promoted to the top of the page and are presented before the result that I'm seeking. Then I need to weigh down past a bunch of YouTube video links that I have zero interest in. Okay, now in fairness, Google's not alone in doing this. Apple has similarly succumbed in their app store. The thing I'm looking for is never first any longer. Even when I search for it by name and spell it correctly, what's first is what someone paid them to show me first in the hope that I wouldn't notice or wasn't sure what it was that I wanted. And on the Google side, in return for tolerating a bunch of advertising, we do receive a ton of services at no charge. You know, I author these show notes every week in Google Docs for free, and you know, the catchall junk email account I maintain over at Gmail is similarly valuable. All of that means a lot. So, thank you, Google. But all of that seems fundamentally different to me from intermixing the design and establishment of crucial web standards with a single company's commercial interests. Yes, Google has succeeded in leveraging their position as the winner of internet search into the winner of the web browser wars. I get it. As I use the internet daily, I am more or less continually being offered the opportunity to improve my life in one way or another by switching to Chrome. I constantly need to decline. Most people have given up declining and they're perfectly happy using uh Chrome whether or not their lives are any better for it and that's great. But tremendous responsibility burdens Google's dominance with Chrome. You know, they need somebody knowledgeable to push back and to question their actions if for no other reason than to help them make the best choices. So, I'm very pleased that we have Mozilla watching and actively participating. Google may and likely will still plow ahead and force Mozilla to keep up or to be left behind. Well, Mozilla and Apple uh and you know either be you know uh keep up or uh get left behind and become irrelevant. But everyone will likely get a better browser whether that's Chrome, Edge, Safari, Brave, Vivaldi or Firefox if this is a collaborative effort. And Leo, the the thing that I think was most significant here is the observation that that that Archerald made that LLM are inherently non-deterministic.
>> You know, every time you ask a question, you get a different answer. And so we're putting we're now talking about having the browser interface to one vendor's solution which has a random number generator in its heart.
>> Not a very good one either.
>> You know, it's got it's got some temperature it's got some temperature setting, >> right?
>> And apparently it's they had to sacrifice a lot of reliability in order to get the size down to something.
>> It's heavily quantized. Yeah, >> that was that was tolerable. They wanted it to be 22 gigs and people said f off.
I am not putting that in my you know is that is that is that mass storage? Is that RAM? Where where does that 22 gigs live >> somewhere you don't want it to live probably >> and so they've had to squeeze it down in order to make it acceptable and in the process it's lost its reliability. So, so I mean really if if we want to be able to surf the web with any browser we choose and if web pages that we download are going to start wanting to use local large language models whose large language model will it be and they aren't interchangeable? We know they're not interchangeable.
>> Right. Well, and you know, Darren uh who loves AI said, "Well, I can imagine some uses. For instance, it's hard to write software that detects misspellings, but the AI could quickly detect a misspelling as somebody's entering it in and correct it." Uh, and so there is that convenience. Uh, but I also think that this is Google Bigfooting the whole process. And I it's it's part of the initification of Google. They don't feel any responsibility to anything at this point except their stakeholders to make more money. And uh that's clearly, you know, this is about dominating the browser space and putting everybody else out of business. The other thing that worries me as an AI fan, and I know you're an AI fan, too, the more we force AI down the throats of unwilling users, the more they're going to hate it. We Google's found that out. Uh Microsoft's found that out. annoying chat box that pop up in in in in the lower right corner of your screen. Well, that's going to end up running locally and it's like >> and we so I don't want to turn people against AI. AI is is a real value. But by doing this kind of forcing it down people's throats, you're actually making enemies and I don't think that's good either for Google or for AI in general.
So yeah, I have lots of problems. We'll talk about this. I'm I'm looking forward to a conversation tomorrow on a tele.
thought would be unbundling the LLM from the browser that is um uh creating an interface but not having it like secret.
I mean it's essentially secret right now. I mean I get it that's the way to to minimize friction so that everybody has it because Google wants everybody to have it >> but >> it's not a very well-kept secret. I should point out that one of the reasons Google thinks this is okay is because they're already doing this on Android as is Apple doing it on on iOS. There are built-in local models on both those systems. Apple touts this all the time and your data stays local on the device.
Apple intelligence is a local model. So there is a precedent for this on those platforms. I think I still wish maybe it's a feudal wish that the web would be a standardsbased interface and that everybody should be able to choose the browser of their cho of their choice and it should all they should all work well.
>> The only one who doesn't want it to be a standard is the big guy >> is Google the winner. Yeah. You wouldn't you're not going to see Vivaldi saying well we think a standard should be favor us. They can't nor can Mo Mosilla. But Google can and >> yeah, >> clearly they they do. I I agree with you. I think this is a >> you know, we saw Google back way down on a number of its uh proposals.
>> Um the the the the whole um the whole uh anti-tracking technology they had they tried several times but they got real push back but they got push back from people who had a vested I mean like >> advertisers. Yes. Exactly. Large large commercial interests and there's no one to push back on this.
>> Well, just remember as users, maybe as individuals, we don't have much power, but collectively we do. They still need us to use their darn browsers.
>> But would somebody leave Chrome to go to Firefox? I don't >> Well, you and I have.
>> I I Yes, >> you and I have. And this is one of the reasons. Um, and fortunately so far you can mostly use the internet with a Firefox-based browser. Mostly >> Wi-Fi is another example. DRM in the browser.
>> Yeah, the the Open Table uh site I use for restaurant reservations and it doesn't work under Firefox.
>> Needs Chrome. Uh, as I said, Reream needs Chrome uh because of WebRTC and the WebRTC implementation it uses. I think that's you know this is an object lesson. This is what happens. Uh and if you don't want if you want Chrome and Google to be the only player in the internet this is this is how these things happen. I think we got to fight got to fight.
>> Hey great uh great topic great show as usual. Uh thanks to all of you for being here. We do Security Now Tuesdays as I mentioned. Steve's got copies of his show if you can't watch live at his website grc.com.
Actually has a lot of good stuff at grc.com. The the show is there including unique versions only. Steve has a 16 kilobit audio version, a 64 kilobit audio version. Those are nice small versions for people who just want the audio. They don't want a lot of bandwidth. They don't want 4.7 gigabytes of AI downloaded with every single episode. Uh he also has very nice transcripts written by Elaine Ferris.
She's going to put that up a couple of days from now. It takes a while. She actually has to physically type it. Uh he also has the show notes there. 20 pages, 21 pages this week. 22 pages of goodness. Now, you can get those show notes ahead of time. He's been sending them out on Sunday lately. Uh if you go to grc.com/email, uh you put in your email address there.
It has two benefits. One, you're now whitelisted. He will validate that you're not a spammer. that allows you to comment, send him questions, submit photos. Oh, there goes another one of those helicopters. My wife might even be on it. Uh uh send in your photos for the picture of the week, that kind of thing.
Uh but below that email form, there is also there are two check boxes. One for uh the weekly newsletter mailing. You can sign up for that. You'll get it automatically every Sunday or Monday. Uh the other is for a much less frequent email when he's got a new product. uh something like spinright I don't know seven could be in the horizon we're at 6.1 in the world's best mass storage maintenance recovery and performance enhancing utility uh he also has uh that fabulous DNS benchmark pro which he has been updating and a new update I think is coming soon anyway that's how you'd find out about those things do get spin right that's Steve's bread and butter you'll find that at GRC too and if you have mass storage you need spin right if you don't have it get it now for drawer.
Uh, also lots of other free stuff.
Steve's kind of prolific. All handcoded in assembly language. Steve, I don't think you're ever going to use vibe coding tools somehow.
>> Um, you know, I'm I think my first exposure may be creating some homegrown uh iOS things.
>> Ah, just for yourself.
>> Not something Yes, it's for home automation uh and just for like moni monitoring GRC servers. And I I'm I'm thinking, you know, not not commercial products, but just my own my own purpose. I think it >> was looking at my GitHub repo uh and my projects. I have 22 or 23 little things like that that I've vibe coded >> uh that are that are incredibly useful.
>> Um you know, it's scanning my email now.
It's preparing my calendar. It's doing all sorts of great stuff. Uh, but there is a big difference between putting that on your own hardware and and using it for yourself and giving it to the public. And Steve knows that's a high much higher uh calling, higher responsibility. We have copies of the show at our website, twit.tvsn.
We have 128 kilobit audio, which does not, amazingly enough sound any better than the 64 kilobit audio, but it's there because Apple down samples and we need it to be bigger, etc. It's a long story. I don't even want to bore you with it. We also have video, which Steve refuses to do.
He fought us every step of the way. Uh, but we've been offering video for some time now on security now. You can get that at twit.tvsn.
There is a YouTube channel for the video. More importantly, you can subscribe and your favorite podcast client get it automatically. So, you don't even have to think about it. You just every Tuesday you'll get a new security now like magic. Uh, we will be back next Tuesday. I will be back home, I'm sad to say. I apologize for any uh stray noises coming in from from my lai, but >> it's been very nice to have a little tropical bird tweeting background.
>> It's it's in the 80s. The breezes are blowing. It's just beautiful. It's really uh it's really lovely here. Uh thanks Steve. Have a great week. We'll see you next time on Security Now.
Right. Hi there. Leo Leaport here. I just wanted to let you know about some of the other shows we do on this network. You probably already know about this week on tech. Every Sunday, I bring together some of the top journalists in the tech field to talk about the tech stories. It's a wonderful chance for you to keep up on what's going on with tech, plus be entertained by some very bright and fun minds. I hope you'll tune in every Sunday for This Week in Tech. Just go to your favorite podcast client and subscribe. This Week in Tech from the Twit Network. Thank you.
Security now.
Related Videos
OpenHuman VS Hermes AI: Who Wins?
JulianGoldieSEO
285 views•2026-05-29
Long-Running Agents — Build an Agent That Never Forgets with Google ADK
suryakunju
142 views•2026-05-30
This computer is made from real human brain cells. And you can buy it.
Talktmsmedia
3K views•2026-05-28
BREAKING: Microsoft’s New Image Generating Model Beat Out GPT 1.5 and Nano Banana 2
aimmediahouse
122 views•2026-06-03
I Made the Same Anime Fight Scene in Every AI Video Generator
NobleGooseAnime
295 views•2026-05-30
Nvidia Bets Big On AI PCs | New Chip To Power Windows Laptops | Technology | AI Updates | N18S
cnnnews18
3K views•2026-06-01
I Tested NEW Opus 4.8 on Four Projects (Updated LLM Leaderboard)
AICodingDaily
298 views•2026-05-29
3D Platformer Update - NO CAPES
SolarLune
294 views•2026-05-30
