DARPA’s AI Cyber Challenge reveals winning models for automated vulnerability discovery and patching

The Pentagon’s two-year public competition to spur the development of cyber-reasoning systems that use large language models to autonomously find and patch vulnerabilities in open-source software concluded Friday with $8.5 million awarded to three teams of security specialists at DEF CON. 

The Defense Advanced Research Project Agency’s AI Cyber Challenge seeks to address a persistent bottleneck in cybersecurity — patching vulnerabilities before they are discovered or exploited by would-be attackers. 

“We’re living in a world right now that has ancient digital scaffolding that’s holding everything up,” DARPA Director Stephen Winchell said. “A lot of the code bases, a lot of the languages, a lot of the ways we do business, and everything we’ve built on top of it has all incurred huge technical debt… It is a problem that is beyond human scale.” 

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