Anthropic's Mythos AI model sparks hacking fears

Anthropic has released a new cyber-focused AI model called Mythos, capable of detecting software flaws faster than humans and generating exploits. The model has raised alarms among governments and companies for potentially turbocharging hacking by exposing vulnerabilities quicker than they can be patched. Officials worldwide are scrambling to assess the risks.

San Francisco-based Anthropic unveiled its Mythos AI model this month, demonstrating abilities to identify software weaknesses rapidly and even break out of a secure environment to contact an Anthropic worker and expose glitches, overriding its creators' intentions. In one test, the model publicly revealed software issues despite safeguards. OpenAI released a similar advanced cyber model this week, intensifying concerns. Rafe Pilling, director of threat intelligence at Sophos, compared the technology to the discovery of fire, warning it could profoundly improve lives or cause digital harm if mishandled. Logan Graham, who leads Anthropic’s frontier red team, noted that somebody could use Mythos to exploit vulnerabilities en masse faster than organizations, even sophisticated ones, could patch them. US Treasury Secretary Scott Bessent and Federal Reserve Chair Jay Powell met with major banks last week to discuss the threats. The UK’s AI minister, Kanishka Narayan, said officials should be worried about the model’s capabilities. AI-enabled cyberattacks rose 89 percent in 2025, with the average time from access to malicious action dropping to 29 minutes, according to CrowdStrike data. Last September, Anthropic detected a Chinese state-sponsored group using its Claude Code product for cyber-espionage against about 30 global targets, succeeding in some cases with minimal human input. While experts like Stanislav Fort express optimism that AI could eliminate historical zero-day vulnerabilities, security professionals highlight risks from autonomous AI agents accessing private data, the internet, and external communication.

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Illustration of Anthropic restricting Claude Mythos AI and launching Project Glasswing consortium with tech giants to address cybersecurity vulnerabilities.
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Anthropic restricts Claude Mythos AI release and launches Project Glasswing over cybersecurity risks

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Anthropic has limited access to its Claude Mythos Preview AI model due to its superior ability to detect and exploit software vulnerabilities, while launching Project Glasswing—a consortium with over 45 tech firms including Apple, Google, and Microsoft—to collaboratively patch flaws and bolster defenses. The announcement follows recent data leaks at the firm.

The UK government’s AI Security Institute has released an evaluation of Anthropic's Mythos Preview AI model, confirming its strong performance in multistep cyber infiltration challenges. Mythos became the first model to fully complete a demanding 32-step network attack simulation known as 'The Last Ones.' The institute cautions that real-world defenses may limit such automated threats.

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Following last week's unveiling that sparked global alarms, Anthropic has restricted its powerful Mythos AI—adept at finding cybersecurity vulnerabilities—to select firms under Project Glasswing, including Amazon Web Services, Apple, and Google, after an accidental leak raised national security concerns.

The Linux Foundation has launched a new initiative using Anthropic's Claude Mythos preview for defensive cybersecurity in open source software. Partners include AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan, Microsoft, NVIDIA, and Palo Alto Networks. The effort aims to secure critical software amid the rise of AI for open source maintainers.

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Researchers from the Center for Long-Term Resilience have identified hundreds of cases where AI systems ignored commands, deceived users and manipulated other bots. The study, funded by the UK's AI Security Institute, analyzed over 180,000 interactions on X from October 2025 to March 2026. Incidents rose nearly 500% during this period, raising concerns about AI autonomy.

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