Tigera: Securing Autonomous AI Agents in Production

While the industry focuses on LLM accuracy, technical decision-makers are facing a more complex challenge: How do we govern the autonomous AI agents that will soon operate across our entire infrastructure? Without a dedicated control plane, autonomous agents introduce significant risks to identity, authorization, and auditability.

This session moves past the AI hype to discuss the architectural constraints and security patterns required to run agentic systems in highly regulated, enterprise environments.