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Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an emergency meeting with the CEOs of major U.S. banks to address cybersecurity risks posed by Anthropic’s Mythos AI model, which has demonstrated the ability to autonomously chain multiple vulnerabilities into sophisticated end-to-end exploits.
Why it matters
The autonomous multi-step exploitation capability validated by VectorCertain is exactly the threat class that prompted the Bessent-Powell emergency meeting, underscoring the significant cybersecurity risks that AI-powered attacks pose to the global financial system.
The details
In three separate incidents, police said Walker Reed Quinn has been damaging Waymo vehicles since July by removing and swinging his belt, placing a cone on the dome and sensors of the car, damaging the tires and driver’s side mirror, and stomping on the windshield.
- On April 8, 2026, Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned the CEOs of major U.S. banks to an emergency meeting.
- Anthropic’s Frontier Red Team confirmed that Mythos Preview can chain 3, 4, or even 5 vulnerabilities into sophisticated end-to-end exploits, fully autonomously.
The players
Treasury Secretary Scott Bessent
The U.S. Treasury Secretary who convened the emergency meeting with bank CEOs to address cybersecurity risks posed by Anthropic’s Mythos AI model.
Federal Reserve Chair Jerome Powell
The Federal Reserve Chair who joined Treasury Secretary Bessent in convening the emergency meeting with bank CEOs to discuss AI cybersecurity threats.
Anthropic
The artificial intelligence company that developed the Mythos AI model, which has demonstrated the ability to autonomously chain multiple vulnerabilities into sophisticated exploits.
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What they’re saying
“Finding vulnerabilities is hard because it requires locating weak points buried within millions of lines of code and verifying that these targets result in a real exploit. Mythos claims it autonomously completed both steps. The fact that some of these vulnerabilities sat undetected in codebases for decades underscores just how hard the first step actually is – and why automating it is significant.”
— Spencer Whitman, Chief Product Officer, Gray Swan AI Security
“This technology is moving so fast that it’s naive to assume others aren’t able to easily replicate similar results, if not already, at least very soon. Anybody with a computer can develop very powerful offensive cyber capabilities in a short amount of time, without needing a lot of expertise in cybersecurity.”
— Charlie Eriksen, Security Researcher, Aikido Security
The takeaway
This case highlights growing concerns in the community about the cybersecurity risks posed by autonomous AI systems, raising questions about the need for robust governance and security frameworks to protect critical infrastructure and financial systems from advanced, AI-powered attacks.
