Training AI Models for Black-Box Cyber Defense

AI Engineer17m 28s
0 comments · 0 votesOpen discussionClose discussion
Sign in to join the discussion

    Video summary

    Thomas Wolf introduces cybersecurity as a demanding test of dynamic reasoning rather than a simple search for code defects. Uri Rolls describes how more capable models change attack economics, while defenders still need systems that operate at scale with limited human intervention.

    The presentation focuses on access-control tasks in large, connected environments. Models receive black-box tools rather than source code or internet access, and deterministic graders measure each step of a multi-stage attempt. An illustrative chain shows why gathering facts is not enough when a model misses the logical relationship between different permission checks.

    Uri Rolls shows difficult evaluation results and traces of prolonged unsuccessful attempts. Thomas Wolf closes by emphasizing high-quality data, post-training and fast specialized models, arguing that open collaboration can strengthen defense rather than relying on only a few closed-model providers.

    Original YouTube thumbnailWatch on YouTube

    Share this page

    Uri Rolls in blue and Thomas Wolf wearing glasses and an off-white shirt flank the blue and white “AI CYBER DEFENSE” headline on black. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 24 July 2026 and duration 17m 28s.

    Uri Rolls and Thomas Wolf argue that realistic black-box benchmarks and specialized open models can help defenders keep pace with AI-assisted attackers.