Bruce Schneier:

Anthropic and the Pentagon
OpenAI is in and Anthropic is out as a supplier of AI technology for the US defense department. This news caps a week of bluster by the highest officials in the US government towards some of the wealthiest titans of the big tech industry, and the overhanging specter of the existential risks posed by a new technology powerful enough that the Pentagon claims it is essential to national security. At issue is Anthropic’s insistence that the US Department of Defense (DoD) could not use its models to facilitate “mass surveillance” or “fully autonomous weapons,” provisions the defense secretary Pete Hegseth derided as “woke.”It all came to a head on Friday evening when Donald Trump issued an order for federal government agencies to discontinue use of Anthropic models. Within hours, OpenAI had swooped in, potentially seizing hundreds of millions of dollars in government contracts by striking an agreement with the administration to provide classified government systems with AI.Despite the histrionics, this is probably the best outcome for Anthropic—and for the Pentagon. In our free-market economy, both are, and should be, free to sell and buy what they want with whom they want, subject to longstanding federal rules on contracting, acquisitions, and blacklisting. The only factor out of place here are the Pentagon’s vindictive threats.AI models are increasingly commodified. The top-tier offerings have about the same performance, and there is little to differentiate one from the other. The latest models from Anthropic, OpenAI and Google, in particular, tend to leapfrog each other with minor hops forward in quality every few months. The best models from one provider tend to be preferred by users to the second, or third, or 10th best models at a rate of only about six times out of 10, a virtual tie.In this sort of market, branding matters a lot. Anthropic and its CEO, Dario Amodei, are positioning themselves as the moral and trustworthy AI provider. That has market value for both consumers and enterprise clients. In taking Anthropic’s place in government contracting, OpenAI’s CEO, Sam Altman, vowed to somehow uphold the same safety principles Anthropic had just been pilloried for. How that is possible given the rhetoric of Hegseth and Trump is entirely unclear, but seems certain to further politicize OpenAI and its products in the minds of consumers and corporate buyers.Posturing publicly against the Pentagon and as a hero to civil libertarians is quite possibly worth the cost of the lost contracts to Anthropic, and associating themselves with the same contracts could be a trap for OpenAI. The Pentagon, meanwhile, has plenty of options. Even if no big tech company was willing to supply it with AI, the department has already deployed dozens of open weight models—whose parameters are public and are often licensed permissively for government use.We can admire Amodei’s stance, but, to be sure, it is primarily posturing. Anthropic knew what they were getting into when they agreed to a defense department partnership for $200m last year. And when they signed a partnership with the surveillance company Palantir in 2024.Read Amodei’s statement about the issue. Or his January essay on AIs and risk, where he repeatedly uses the words “democracy” and “autocracy” while evading precisely how collaboration with US federal agencies should be viewed in this moment. Amodei has bought into the idea of using “AI to achieve robust military superiority” on behalf of the democracies of the world in response to the threats from autocracies. It’s a heady vision. But it is a vision that likewise supposes that the world’s nominal democracies are committed to a common vision of public wellbeing, peace-seeking and democratic control.Regardless, the defense department can also reasonably demand that the AI products it purchases meet its needs. The Pentagon is not a normal customer; it buys products that kill people all the time. Tanks, artillery pieces, and hand grenades…

Bruce Schneier:

Friday Squid Blogging: Squid in Byzantine Monk Cooking
This is a very weird story about how squid stayed on the menu of Byzantine monks by falling between the cracks of dietary rules.At Constantinople’s Monastery of Stoudios, the kitchen didn’t answer to appetite.It answered to the “typikon”: a manual for ensuring that nothing unexpected happened at mealtimes. Meat: forbidden. Dairy: forbidden. Eggs: forbidden. Fish: feast-day only. Oil: regulated. But squid?Squid had eight arms, no bones, and a gift for changing color. Nobody had bothered writing a regulation for that. This wasn’t a loophole born of legal creativity but an oversight rooted in taxonomic confusion. Medieval monks, confronted with a creature that was neither fish nor fowl, gave up and let it pass.In a kitchen governed by prohibitions, the safest ingredient was the one that caused the least disturbance. Squid entered not with applause, but with a shrug.Bonus stuffed squid recipe at the end.As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.Blog moderation policy.

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Bruce Schneier:

New Attack Against Wi-Fi
It’s called AirSnitch:Unlike previous Wi-Fi attacks, AirSnitch exploits core features in Layers 1 and 2 and the failure to bind and synchronize a client across these and higher layers, other nodes, and other network names such as SSIDs (Service Set Identifiers). This cross-layer identity desynchronization is the key driver of AirSnitch attacks.The most powerful such attack is a full, bidirectional machine-in-the-middle (MitM) attack, meaning the attacker can view and modify data before it makes its way to the intended recipient. The attacker can be on the same SSID, a separate one, or even a separate network segment tied to the same AP. It works against small Wi-Fi networks in both homes and offices and large networks in enterprises.With the ability to intercept all link-layer traffic (that is, the traffic as it passes between Layers 1 and 2), an attacker can perform other attacks on higher layers. The most dire consequence occurs when an Internet connection isn’t encrypted­—something that Google recently estimated occurred when as much as 6 percent and 20 percent of pages loaded on Windows and Linux, respectively. In these cases, the attacker can view and modify all traffic in the clear and steal authentication cookies, passwords, payment card details, and any other sensitive data. Since many company intranets are sent in plaintext, traffic from them can also be intercepted.Even when HTTPS is in place, an attacker can still intercept domain look-up traffic and use DNS cache poisoning to corrupt tables stored by the target’s operating system. The AirSnitch MitM also puts the attacker in the position to wage attacks against vulnerabilities that may not be patched. Attackers can also see the external IP addresses hosting webpages being visited and often correlate them with the precise URL.Here’s the paper.

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Bruce Schneier:

Jailbreaking the F-35 Fighter Jet
Countries around the world are becoming increasingly concerned about their dependencies on the US. If you’ve purchase US-made F-35 fighter jets, you are dependent on the US for software maintenance.The Dutch Defense Secretary recently said that he could jailbreak the planes to accept third-party software.

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Bruce Schneier:

iPhones and iPads Approved for NATO Classified Data
Apple announcement:…iPhone and iPad are the first and only consumer devices in compliance with the information assurance requirements of NATO nations. This enables iPhone and iPad to be used with classified information up to the NATO restricted level without requiring special software or settings—a level of government certification no other consumer mobile device has met.This is out of the box, no modifications required.Boing Boing post.

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Bruce Schneier:

Academia and the “AI Brain Drain”
In 2025, Google, Amazon, Microsoft and Meta collectively spent US$380 billion on building artificial-intelligence tools. That number is expected to surge still higher this year, to $650 billion, to fund the building of physical infrastructure, such as data centers (see go.nature.com/3lzf79q). Moreover, these firms are spending lavishly on one particular segment: top technical talent.Meta reportedly offered a single AI researcher, who had cofounded a start-up firm focused on training AI agents to use computers, a compensation package of $250 million over four years (see go.nature.com/4qznsq1). Technology firms are also spending billions on “reverse-acquihires”—poaching the star staff members of start-ups without acquiring the companies themselves. Eyeing these generous payouts, technical experts earning more modest salaries might well reconsider their career choices.Academia is already losing out. Since the launch of ChatGPT in 2022, concerns have grown in academia about an “AI brain drain.” Studies point to a sharp rise in university machine-learning and AI researchers moving to industry roles. A 2025 paper reported that this was especially true for young, highly cited scholars: researchers who were about five years into their careers and whose work ranked among the most cited were 100 times more likely to move to industry the following year than were ten-year veterans whose work received an average number of citations, according to a model based on data from nearly seven million papers.1This outflow threatens the distinct roles of academic research in the scientific enterprise: innovation driven by curiosity rather than profit, as well as providing independent critique and ethical scrutiny. The fixation of “big tech” firms on skimming the very top talent also risks eroding the idea of science as a collaborative endeavor, in which teams—not individuals—do the most consequential work.Here, we explore the broader implications for science and suggest alternative visions of the future.Astronomical salaries for AI talent buy into a legend as old as the software industry: the 10x engineer. This is someone who is supposedly capable of ten times the impact of their peers. Why hire and manage an entire group of scientists or software engineers when one genius—or an AI agent—can outperform them?That proposition is increasingly attractive to tech firms that are betting that a large number of entry-level and even mid-level engineering jobs will be replaced by AI. It’s no coincidence that Google’s Gemini 3 Pro AI model was launched with boasts of “PhD-level reasoning,” a marketing strategy that is appealing to executives seeking to replace people with AI.But the lone-genius narrative is increasingly out of step with reality. Research backs up a fundamental truth: science is a team sport. A large-scale study of scientific publishing from 1900 to 2011 found that papers produced by larger collaborations consistently have greater impact than do those of smaller teams, even after accounting for self-citation.2 Analyses of the most highly cited scientists show a similar pattern: their highest-impact works tend to be those papers with many authors.3 A 2020 study of Nobel laureates reinforces this trend, revealing that—much like the wider scientific community—the average size of the teams that they publish with has steadily increased over time as scientific problems increase in scope and complexity.4From the detection of gravitational waves, which are ripples in space-time caused by massive cosmic events, to CRISPR-based gene editing, a precise method for cutting and modifying DNA, to recent AI breakthroughs in protein-structure prediction, the most consequential advances in modern science have been collective achievements. Although these successes are often associated with prominent individuals—senior scientists, Nobel laureates, patent holders—the work itself was driven by teams ranging from dozens to thousands of people and was built on decades…

Bruce Schneier:

Friday Squid Blogging: Increased Squid Population in the Falklands
Some good news: squid stocks seem to be recovering in the waters off the Falkland Islands.As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.Blog moderation policy.

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B. Schneier:

Upcoming Speaking Engagements
This is a current list of where and when I am scheduled to speak:I’m giving the Ross Anderson Lecture at the University of Cambridge’s Churchill College at 5:30 PM GMT on Thursday, March 19, 2026.I’m speaking at RSAC 2026 in San Francisco, California, USA, on Wednesday, March 25, 2026.I’m part of an event on “Canada and AI Sovereignty,” hosted by the University of Toronto’s Munk School of Global Affairs & Public Policy, which will be held online via Zoom at 4:00 PM ET on Monday, March 30, 2026.I’m speaking at DemocracyXChange 2026 in Toronto, Ontario, Canada, on April 18, 2026.I’m speaking at the SANS AI Cybersecurity Summit 2026 in Arlington, Virginia, USA, at 9:40 AM ET on April 20, 2026.I’m speaking at the Nemertes [Next] Virtual Conference Spring 2026, a virtual event, on April 29, 2026.I’m speaking at RightsCon 2026 in Lusaka, Zambia, on May 6 and 7, 2026.The list is maintained on this page.

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Bruce Schneier:

Possible New Result in Quantum Factorization
I’m skeptical about—and not qualified to review—this new result in factorization with a quantum computer, but if it’s true it’s a theoretical improvement in the speed of factoring large numbers with a quantum computer.

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Bruce Schneier:

South Korean Police Accidentally Post Cryptocurrency Wallet Password
An expensive mistake:Someone jumped at the opportunity to steal $4.4 million in crypto assets after South Korea’s National Tax Service exposed publicly the mnemonic recovery phrase of a seized cryptocurrency wallet.The funds were stored in a Ledger cold wallet seized in law enforcement raids at 124 high-value tax evaders that resulted in confiscating digital assets worth 8.1 billion won (currently approximately $5.6 million).When announcing the success of the operation, the agency released photos of a Ledger device, a popular hardware wallet for crypto storage and management.However, the images also showed a handwritten note of the wallet recovery phrase, which serves as the master key that allows restoring the assets to another device.The authorities failed to redact that info, allowing anyone to transfer into their account the assets in the cold wallet.Reportedly, shortly after the press release was published, 4 million Pre-Retogeum (PRTG) tokens, worth approximately $4.8 million at the time, were transferred out of the confiscated wallet to a new address.

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Bruce Schneier:

Meta’s AI Glasses and Privacy
Surprising no one, Meta’s new AI glasses are a privacy disaster.I’m not sure what can be done here. This is a technology that will exist, whether we like it or not.Meanwhile, there is a new Android app that detects when there are smart glasses nearby.

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Bruce Schneier:

Hacking a Robot Vacuum
Someone tries to remote control his own DJI Romo vacuum, and ends up controlling 7,000 of them from all around the world.The IoT is horribly insecure, but we already knew that.

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Bruce Schneier:

Proton Mail Shared User Information with the Police
404 Media has a story about Proton Mail giving subscriber data to the Swiss government, who passed the information to the FBI.It’s metadata—payment information related to a particular account—but still important knowledge. This sort of thing happens, even to privacy-centric companies like Proton Mail.

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Bruce Schneier:

Friday Squid Blogging: Jumbo Flying Squid in the South Pacific
The population needs better conservation.As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.Blog moderation policy.

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Bruce Schneier:

Microsoft Xbox One Hacked
It’s an impressive feat, over a decade after the box was released:Since reset glitching wasn’t possible, Gaasedelen thought some voltage glitching could do the trick. So, instead of tinkering with the system rest pin(s) the hacker targeted the momentary collapse of the CPU voltage rail. This was quite a feat, as Gaasedelen couldn’t ‘see’ into the Xbox One, so had to develop new hardware introspection tools.Eventually, the Bliss exploit was formulated, where two precise voltage glitches were made to land in succession. One skipped the loop where the ARM Cortex memory protection was setup. Then the Memcpy operation was targeted during the header read, allowing him to jump to the attacker-controlled data.As a hardware attack against the boot ROM in silicon, Gaasedelen says the attack in unpatchable. Thus it is a complete compromise of the console allowing for loading unsigned code at every level, including the Hypervisor and OS. Moreover, Bliss allows access to the security processor so games, firmware, and so on can be decrypted.

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Bruce Schneier:

Team Mirai and Democracy
Japan’s election last month and the rise of the country’s newest and most innovative political party, Team Mirai, illustrates the viability of a different way to do politics.In this model, technology is used to make democratic processes stronger, instead of undermining them. It is harnessed to root out corruption, instead of serving as a cash cow for campaign donations.Imagine an election where every voter has the opportunity to opine directly to politicians on precisely the issues they care about. They’re not expected to spend hours becoming policy experts. Instead, an AI Interviewer walks them through the subject, answering their questions, interrogating their experience, even challenging their thinking.Voters get immediate feedback on how their individual point of view matches—or doesn’t—a party’s platform, and they can see whether and how the party adopts their feedback. This isn’t like an opinion poll that politicians use for calculating short-term electoral tactics. It’s a deliberative reasoning process that scales, engaging voters in defining policy and helping candidates to listen deeply to their constituents.This is happening today in Japan. Constituents have spent about eight thousand hours engaging with Mirai’s AI Interviewer since 2025. The party’s gamified volunteer mobilization app, Action Board, captured about 100,000 organizer actions per day in the runup to last week’s election.It’s how Team Mirai, which translates to ‘The Future Party,’ does politics. Its founder, Takahiro Anno, first ran for local office in 2024 as a 33 year old software engineer standing for Governor of Tokyo. He came in fifth out of 56 candidates, winning more than 150,000 votes as an unaffiliated political outsider. He won attention by taking a distinctive stance on the role of technology in democracy and using AI aggressively in voter engagement.Last year, Anno ran again, this time for the Upper Chamber of the national legislature—the Diet—and won. Now the head of a new national party, Anno found himself with a platform for making his vision of a new way of doing politics a reality.In this recent House of Representatives election, Team Mirai shot up to win nearly four million votes. In the lower chamber’s proportional representation system, that was good enough for eleven total seats—the party’s first ever representation in the Japanese House—and nearly three times what it achieved in last year’s Upper Chamber election.Anno’s party stood for election without aligning itself on the traditional axes of left and right. Instead, Team Mirai, heavily associated with young, urban voters, sought to unite across the ideological spectrum by taking a radical position on a different axis: the status quo and the future. Anno told us that Team Mirai believes it can triple its representation in the Diet after the next elections in each chamber, an ostentatious goal that seems achievable given their rapid rise over the past year.In the American context, the idea of a small party unifying voters across left and right sounds like a pipe dream. But there is evidence it worked in Japan. Team Mirai won an impressive 11% of proportional representation votes from unaffiliated voters, nearly twice the share of the larger electorate. The centerpiece of the party’s policy platform is not about the traditional hot button issues, it’s about democracy itself, and how it can be enhanced by embracing a futuristic vision of digital democracy.Anno told us how his party arrived at its manifesto for this month’s elections, and why it looked different from other parties’ in important ways. Team Mirai collected more than 38,000 online questions and more than 6,000 discrete policy suggestions from voters using its AI Policy app, which is advertised as a ‘manifesto that speaks for itself.’After factoring in all this feedback, Team Mirai maintained a contrarian position on the biggest issue of the election: the sales tax and affordability. Rather than running on a reduction of the…

Bruce Schneier:

Sen. Wyden Warns of Another Section 702 Abuse
Sen. Ron Wyden is warning us of an abuse of Section 702:Wyden took to the Senate floor to deliver a lengthy speech, ostensibly about the since approved (with support of many Democrats) nomination of Joshua Rudd to lead the NSA. Wyden was protesting that nomination, but in the context of Rudd being unwilling to agree to basic constitutional limitations on NSA surveillance. But that’s just a jumping off point ahead of Section 702’s upcoming reauthorization deadline. Buried in the speech is a passage that should set off every alarm bell:There’s another example of secret law related to Section 702, one that directly affects the privacy rights of Americans. For years, I have asked various administrations to declassify this matter. Thus far they have all refused, although I am still waiting for a response from DNI Gabbard. I strongly believe that this matter can and should be declassified and that Congress needs to debate it openly before Section 702 is reauthorized. In fact, when it is eventually declassified, the American people will be stunned that it took so long and that Congress has been debating this authority with insufficient information.Over the decades, we have learned to take Wyden’s warnings seriously.

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Bruce Schneier:

As the US Midterms Approach, AI Is Going to Emerge as a Key Issue Concerning Voters
In December, the Trump administration signed an executive order that neutered states’ ability to regulate AI by ordering his administration to both sue and withhold funds from states that try to do so. This action pointedly supported industry lobbyists keen to avoid any constraints and consequences on their deployment of AI, while undermining the efforts of consumers, advocates, and industry associations concerned about AI’s harms who have spent years pushing for state regulation.Trump’s actions have clarified the ideological alignments around AI within America’s electoral factions. They set down lines on a new playing field for the midterm elections, prompting members of his party, the opposition, and all of us to consider where we stand in the debate over how and where to let AI transform our lives.In a May 2025 survey of likely voters nationwide, more than 70% favored state and federal regulators having a hand in AI policy. A December 2025 poll by Navigator Research found similar results, with a massive net +48% favorability for more AI regulation. Yet despite the overwhelming preference of both voters and his party’s elected leaders—Congress was essentially unanimous in defeating a previous state AI regulation moratorium—Trump has delivered on a key priority of the industry. The order explicitly challenges the will of voters across blue and red states, from California to South Dakota, scrambling political positions around the technology and setting up a new ideological battleground in the upcoming race for Congress.There are a number of ways that candidates and parties may try to capitalize on this emerging wedge issue before the midterms.In 2025, much of the popular debate around AI was cast in terms of humans versus machines. Advances in AI and the companies it is associated with, it is said, come at the expense of humans. A new model release with greater capabilities for writing, teaching, or coding means more people in those disciplines losing their jobs.This is a humanist debate. Making us talk to an AI customer-support agent is an affront to our dignity. Using AI to help generate media sacrifices authenticity. AI chatbots that persuade and manipulate assault our liberty. There is philosophical merit to these arguments, and yet they seem to have limited political salience.Populism versus institutionalism is a better way to frame this debate in the context of US politics. The MAGA movement is widely understood to be a realignment of American party politics to ally the Republican party with populism, and the Democratic party with defenders of traditional institutions of American government and their democratic norms.This frame is shattered by Trump’s AI order, which unabashedly serves economic elites at the expense of populist consumer protections. It is part of an ongoing courting process between MAGA and big tech, where the Trump political project sacrifices the interests of consumers and its populist credentials as it cozies up to tech moguls.We are starting to see populist resistance to this government/big tech alignment emerge on the local scale. People in Maryland, Arizona, North Carolina, Michigan and many other states are vigorously opposing AI datacenters in their communities, based on environmental and energy-affordability impacts. These centers of opposition are politically diverse; both progressives and Trump-supporting voters are turning out in force, influencing their local elected officials to resist datacenter development.This opposition to the physical infrastructure of corporate AI is so far staying local, but it may yet translate into a national and politically aligned movement that could divide the MAGA coalition.Any policy discussions about AI should include the individual harms associated with job loss, as employers seek to replace laborers with machines. It should also include the systemic economic risks associated with concentrated and supercharged…

Bruce Schneier:

Friday Squid Blogging: Bioluminescent Bacteria in Squid
The Hawaiian bobtail squid has bioluminescent bacteria.

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Bruce Schneier:

Apple’s Camera Indicator Lights
A thoughtful review of Apple’s system to alert users that the camera is on. It’s really well-designed, and important in a world where malware could surreptitiously start recording.The reason it’s tempting to think that a dedicated camera indicator light is more secure than an on-display indicator is the fact that hardware is generally more secure than software, because it’s harder to tamper with. With hardware, a dedicated hardware indicator light can be connected to the camera hardware such that if the camera is accessed, the light must turn on, with no way for software running on the device, no matter its privileges, to change that. With an indicator light that is rendered on the display, it’s not foolish to worry that malicious software, with sufficient privileges, could draw over the pixels on the display where the camera indicator is rendered, disguising that the camera is in use.If this were implemented simplistically, that concern would be completely valid. But Apple’s implementation of this is far from simplistic.

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Bruce Schneier:

Inventors of Quantum Cryptography Win Turing Award
Charles Bennett and Gilles Brassard have won the 2026 Turing Award for inventing quantum cryptography.I am incredibly pleased to see them get this recognition. I have always thought the technology to be fantastic, even though I think it’s largely unnecessary. I wrote up my thoughts back in 2008, in an <a href+https://www.schneier.com/essays/archives/2008/10/quantum_cryptography.html”>essay titled “Quantum Cryptography: As Awesome As It Is Pointless.”Back then, I wrote:While I like the science of quantum cryptography—my undergraduate degree was in physics—I don’t see any commercial value in it. I don’t believe it solves any security problem that needs solving. I don’t believe that it’s worth paying for, and I can’t imagine anyone but a few technophiles buying and deploying it. Systems that use it don’t magically become unbreakable, because the quantum part doesn’t address the weak points of the system.Security is a chain; it’s as strong as the weakest link. Mathematical cryptography, as bad as it sometimes is, is the strongest link in most security chains. Our symmetric and public-key algorithms are pretty good, even though they’re not based on much rigorous mathematical theory. The real problems are elsewhere: computer security, network security, user interface and so on.Cryptography is the one area of security that we can get right. We already have good encryption algorithms, good authentication algorithms and good key-agreement protocols. Maybe quantum cryptography can make that link stronger, but why would anyone bother? There are far more serious security problems to worry about, and it makes much more sense to spend effort securing those.As I’ve often said, it’s like defending yourself against an approaching attacker by putting a huge stake in the ground. It’s useless to argue about whether the stake should be 50 feet tall or 100 feet tall, because either way, the attacker is going to go around it. Even quantum cryptography doesn’t “solve” all of cryptography: The keys are exchanged with photons, but a conventional mathematical algorithm takes over for the actual encryption.What about quantum computation? I’m not worried; the math is ahead of the physics. Reports of progress in that area are overblown. And if there’s a security crisis because of a quantum computation breakthrough, it’s because our systems aren’t crypto-agile.

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