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Fed's Bowman Says Mythos Shows 'Dynamic Nature' of AI Tools
May 1, 2026 at 6:00 PM UTCThe Federal Reserve’s top bank cop said regulators must consider how best to supervise new technology like Anthropic PBC’s Mythos, as officials grapple with the potential risks of artificial intelligence models.“On one hand, this capability enables firms to address self-identified vulnerabilities thereby enhancing cyber security,” Fed Vice Chair for Supervision Michelle Bowman said in prepared remarks on Friday. “But on the other hand, if used maliciously it could be deployed to identify and exploit weaknesses.”
Explained: What is Mythos AI and why it is worrying banks and ...
HomeTechnology NewsExplained: What is Mythos AI and why it is worrying banks and regulatorsMythos AI by Anthropic doesn’t just find flaws, it acts on them. In hours it can scan whole systems and spot cracks that experts might take months to uncover. That speed makes it a powerful shield, but also a tempting weapon—and that’s what has regulators worried.Mythos, an artificial intelligence (AI) system developed by Anthropic, is drawing attention from governments, banks, regulators and cybersecurity experts because of its ability to identify and act on vulnerabilities in complex systems. The level of concern is visible at the highest levels—US Federal Reserve Chair Jerome Powell met American bankers earlier in April, while india's Finance Minister Nirmala Sitharaman and IT Minister Ashwini Vaishnaw met Indian bankers last week to discuss the issue. What exactly is Mythos and how is it different from existing AI models? It is not a general-purpose chatbot. Think of it as a super-expert version of AI tools like ChatGPT or Gemini —not just a smarter chatbot. Mythos is designed for cybersecurity and coding, with the ability to scan systems, detect weaknesses and fix them. But those same capabilities can also be used to break into systems. What makes it different from earlier AI models is its level of independence. While older systems require step-by-step human input, Mythos can analyse a large system, identify vulnerabilities and execute multi-step actions on its own. It can scan entire operating systems or browsers in hours—tasks that would typically take teams of experts weeks or months. Its most significant capability is identifying “zero-day” vulnerabilities—bugs that developers are not aware of. These are among the most critical risks in cybersecurity. Mythos has already identified multiple such vulnerabilities across widely used systems. It discovered 271 issues in Mozilla Firefox in a single cycle. In OpenBSD, it uncovered a 27-year-old flaw that could allow a remote attacker to trigger a denial-of-service crash. In FFmpeg, used by platforms like YouTube and Netflix, it identified a 16-year-old vulnerability that had passed millions of tests. It has also flagged vulnerabilities in the Linux kernel, which is widely used across devices and cloud networks. What's worrying banks and regulators? Such an advanced model creates both opportunity and risk. On one hand, Mythos allows companies to identify and fix vulnerabilities before they are exploited. On...
Federal CIO cautious on Anthropic's Mythos despite planned rollout
Greg Barbaccia told CyberScoop that Anthropic's Mythos shows real promise for federal cyber defense, but warns that laboratory results and live network conditions are two very different things.
Speech by Vice Chair for Supervision Bowman on ... - Federal Reserve Board
Anthropic's Mythos—an AI model that identifies cyber vulnerabilities—highlights the dynamic nature of this technology and the rapid pace that its capability can evolve.
