# Can AI Solve the Vulnerability Problem in Critical Infrastructure?

Page: https://stenobird.com/podcast/infosecurity-magazine-podcast-1181101/can-ai-solve-the-vulnerability-problem-in-critical-infrastructure
Text version: https://stenobird.com/podcast/infosecurity-magazine-podcast-1181101/can-ai-solve-the-vulnerability-problem-in-critical-infrastructure.md
Podcast: [Infosecurity Magazine Podcast](https://stenobird.com/podcast/infosecurity-magazine-podcast-1181101)
Published: 2025-09-25T13:45:49+00:00
Episode link: https://soundcloud.com/user-460162468/can-ai-solve-vulnerability-problem-aixcc
Audio file: https://feeds.soundcloud.com/stream/2176297638-user-460162468-can-ai-solve-vulnerability-problem-aixcc.mp3
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JSON: https://stenobird.com/v1/public/podcasts/infosecurity-magazine-podcast-1181101/episodes/can-ai-solve-the-vulnerability-problem-in-critical-infrastructure
Duration seconds: 2487

## Resource

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.

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## Transcript

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