Traditional red team operations depend on rigid scripts and brittle automation, forcing operators to spend more time managing tools than testing strategy. This talk explores how Large Language Model (LLM) driven agents transform red teaming by combining reasoning, memory, and tool execution. We’ll show how agents can adapt in real-time scanning, interpreting results, pulling live vulnerability intel, and autonomously exploiting targets. Attendees will see a live demonstration of an AI-powered red team agent completing a full attack chain, and walk away with a clear view of the opportunities of AI in offensive security.