US Officials Warn Bank CEOs About Cybersecurity Risks from Anthropic's Mythos AI Model
Bessent, Powell warn bank CEOs about Anthropic's new ‘Mythos’ AI model — What risks did they flag?
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US Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell alerted bank CEOs about cybersecurity threats from Anthropic's new AI model, Mythos. The model can exploit vulnerabilities in major operating systems and browsers, prompting calls for enhanced security measures across the banking sector.
- 01Bessent and Powell warned bank CEOs about cybersecurity risks from Mythos AI.
- 02Mythos can identify and exploit weaknesses in major operating systems and browsers.
- 03Access to Mythos will be restricted to about 40 technology companies.
- 04A federal court upheld the Pentagon's blacklisting of Anthropic.
- 05The blacklisting could result in significant financial losses for Anthropic.
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US Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an urgent meeting with top bank executives in Washington to discuss cybersecurity risks associated with Anthropic's newly launched Mythos AI model. This model, capable of identifying and exploiting vulnerabilities across major operating systems and web browsers, raised alarms among officials, prompting them to urge banks to enhance their cybersecurity measures. Anthropic, led by Dario Amodei, has limited access to Mythos to around 40 technology firms, including major players like Microsoft and Google. The meeting took place as many CEOs were already in Washington for other engagements, with notable attendees from Citigroup, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs. Additionally, a federal appeals court recently upheld the Pentagon's decision to blacklist Anthropic, labeling it a national security risk due to its refusal to comply with certain usage restrictions, potentially costing the company billions in lost contracts and damaging its reputation.
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The warning from US officials may lead banks to invest more in cybersecurity measures, affecting their operational costs and strategies.
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