Generative AI is poised to revolutionize vulnerability discovery in critical infrastructure, but will it actually fix the problem, or just shift the burden?

The recent AI Cybersecurity Challenge (AIxCC), a two-year competition sponsored by the US Defense Advanced Research Projects Agency (DARPA) and Advanced Research Projects Agency for Health (ARPA-H), crowned winners whose AI systems autonomously discovered and patched zero-day flaws in real-world code.

Now, with models potentially going open-source, the implications for defenders, attackers and policymakers are seismic.

In this episode, we sat down with Taesoo Kim, the leader of Team Atlanta, the AIxCC winning team, and Andrew Carney, program manager for the AIxCC at DARPA and ARPA-H.

In the interview (13.56), they discuss why the commercialization of GenAI-powered vulnerability scanning tools could be just around the corner and how "self-healing infrastructure" might soon become a reality.

Can AI Solve the Vulnerability Problem in Critical Infrastructure?

In this inaugural episode of the IntoSecurity Chats podcast, Eleanor Dallaway talks to bug-bounty queen Katie Moussouris about pay equality, women in cybersecurity, her legendary circus descent into her musical keynote at Kiwicon and whether she's Team Kim or Team Kanye...

IntoSecurity Chats Episode 1 - Katie Moussouris

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Can AI Solve the Vulnerability Problem in Critical Infrastructure?

Infosecurity Magazine

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