Secure AI Agents: Understanding automated Red Teaming and AI Evals
About the Security Event
Securing AI agents against real world threats takes center stage in this live session focused on automated red teaming and AI evaluation. The discussion examines how large language models can be exposed to risks such as prompt injection, data leakage and hallucinations, and explains how continuous red teaming helps identify these weaknesses before they surface in production.
The session demonstrates how to automate vulnerability scans that map to recognized security categories and how to generate domain specific test cases using internal knowledge bases. Attendees will also see how realistic persona simulations can stress test AI systems through complex user interactions. The webinar is designed for AI product leaders, engineers and security professionals who want to strengthen the safety, reliability and resilience of their AI applications.