General Analysis

General Analysis builds AI security for agentic systems through context-aware automated red-teaming and vulnerability forecasting. The founding team brings expertise from NVIDIA, Jane Street, DeepMind, Cohere, Snap, NASA, Caltech, Harvard, and CMU, with published research in top conferences like NeurIPS and ICLR. The team has combined $200K+ in ML competition winnings and $300K+ in security bug bounties, focusing on mapping how tools, permissions, and data interact in production to surface multi-step exploit chains.