Agentic AI in Cyber Security

This book examines the evolving AI-driven threat landscape and explains how generative and agent-based models can be integrated into zero-trust security architectures. It presents practical frameworks for designing security-oriented AI agents, detailing their architectural components, reasoning and decision-making processes, and deployment. Dedicated chapters analyze real-world applications, including intrusion detection, proactive threat hunting, digital forensics, malware analysis, and critical infrastructure protection. This book further addresses governance, risk management, system resilience, and the strategic implications of increasingly autonomous cyber defense ecosystems.