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Explore how to build LLM-based AI agents that transform security operations through autonomous workflows and intelligent decision-making in this 47-minute conference talk. Learn the fundamental differences between traditional zero-shot prompting and agentic workflows that involve continuous iterations, branching decisions, and adaptive responses based on new information. Discover how these advanced workflows address the complex, non-linear nature of security challenges that require critical thinking, adaptability, and dynamic tool interaction. Master the implementation of reasoning loops and critic agents that enable systems to evaluate and refine their actions continuously, leading to more accurate and effective security outcomes. Understand the orchestration of agents as services and the streaming of conversations through messages to enable real-time communication, context sharing, and behavioral adaptation. Examine well-known agentic frameworks, reasoning techniques, and practical Python-based examples specifically designed for security use cases. Gain hands-on knowledge for building autonomous agents suitable for both defensive blue team operations and offensive red team challenges, with practical techniques that can be immediately applied to create your own intelligent security workflows.
