
The episode discusses the implications of frontier AI models in identifying software vulnerabilities and the emerging concept of Shadow AI in security.
Key frontier models are now capable of spotting vulnerabilities that no one thought even existed. They are finding software vulnerabilities at scale without any prompting, presenting both opportunities and challenges for security teams. For instance, recently, the Associated Press reported on the Anthropic Mythos model , spotting vulnerabilities in highly sensitive U.S. government computer systems during a testing exercise. Security researchers describe this ability as dual-use. The Mythos model, part of Anthropic’s project Glasswing , partnered with national intelligence agencies to find and fix vulnerabilities in critical systems before attackers get to them, as per AP . The frontier AI model “broke into almost all of our classified systems, not in weeks, but in hours,” Joshua Rudd, National Security Agency (NSA) chief, seems to have informed Senator Mark Warner of Virginia. This kind of scanning capability helps defenders patch vulnerabilities faster, and also provides attackers with a more effective tool. As our guest noted in the recent The Security Strategist podcast episode, it's "almost like a new weapon." Both sides of the security battle believe they can leverage it to…
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