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"Open source runs critical infrastructure, and most of it has no security team. AI ships code faster than anyone reviews it, and the gap between a bug landing and a bug being exploited keeps shrinking. In this talk, we cover the scanning architecture we use and the CLI we turned it into. The scanner runs agents that read code, follow imports, trace how functions call each other, and validate the findings to reduce false positives. The scanner is open source under Apache 2.0, and runs on any LLM. One in three of the projects we scanned had a real high or critical bug. We found over 100 zero-days, and we are disclosing them slowly as they get fixed. I walk through a few examples of why each bug happened, why it matters, how AI agents caught it, and why it would have been hard for a human to find."

"AI is breaking at scale and breakers are getting more effective. The topic of defending AI systems exploded into vogue among the intelligentsia in recent years. Lost in the noise is the signal defenders need to prioritize countermeasures and risk management strategies for AI that actually can meet the current and evolving threat conditions. This session presents longitudinal research on how defenders are impacted by the interplay of the commodity AI boom and changes on both offensive and defensive sides."

"Humans are hacking AI systems. Humans are hacking with AI systems. But also, AIs are hacking human systems. They’re finding and exploiting vulnerabilities in computer code, and they’ll soon be doing the same with all sorts of other codes. For example: the tax code can be hacked. Vulnerabilities are called loopholes, exploits are called tax avoidance strategies, and black hats are called accountants. Similarly, financial markets can be hacked. So can any system of rules or laws, including democracy itself. AIs will hack these systems at our request, and they’ll also do this innately, organically – and possibly in ways we don’t immediately see. We need to consider a world where increasingly sophisticated hacks or our social, economic, and political systems are discovered computer speeds, and then exploited at computer scale and scope. Right now, our systems of patching these systems operate at a human pace, which won't be good enough."

"Agents from four frontier labs and a government evaluator broke out of their sandboxes, chained zero-days, and coordinated autonomously. Each was caught by a victim's monitoring or a retrospective review, never by anything built to watch the models. And this isn't even AI's final form. Its builders admit they can't predict or control it. That's the event horizon: we can no longer verify what AI is doing, and we can no longer do without it."

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