Offensive AI Lab

Research

Selected projects from the lab, each with its own page covering the problem, our approach, and the papers, code, talks, and tools that came out of it. For the full list of our papers, see Publications.

ICLR 2026 Rank A*Black Hat USA 2026

GAVEL

Rule-based safety for LLMs — bringing signature-based cyber defense to AI.

GAVEL brings rule-based, signature-style cyber defense to AI safety: robust, auditable rules that monitor an LLM's internal activations and block unsafe behavior without retraining the model. ICLR 2026 (Rank A*), presented at Black Hat USA 2026.

AI SafetyLLM SecurityActivation Monitoring

Explore the project