AI Identities introduces a groundbreaking concept: AI Agents should be recognized and governed as a new class of identity within enterprise environments. As artificial intelligence evolves from predictive models to autonomous agents with memory, goals, and tool access, enterprises face a new spectrum of identity risk that transcends traditional IAM frameworks. This book lays out the philosophical, architectural, and operational foundations necessary to govern these intelligent machine identities across their lifecycles. Structured across six parts, the book begins by grounding readers in identity security and ownership. It then introduces the concept of AI agents as complex, evolving identities that demand governance, not just access control. It offers practical guidance on lifecycle management, trust, discovery, and incident response for AI agents, and concludes with future-facing perspectives on human-AI collaboration, critical infrastructure, and compliance. This is not a coding manual or abstract ethics book—it’s a field guide for security professionals, architects, and digital leaders who must design, secure, and take responsibility for the AI identities acting on behalf of their organizations. The writing is crisp, deeply informed, and structured to support real-world decision-making in an era where the lines between automation and agency are quickly disappearing. WHAT YOU WILL LEARN: Understand the emerging category of AI Identities and how they differ from traditional machine accounts. Develop strategies for ownership, governance, and lifecycle control of AI agents in enterprise environments. Build a framework for discovery, trust scoring, explainability, and behavioral auditing of autonomous agents. Learn how to respond to security incidents involving intelligent agents and prevent cascading failures. Gain insights into the future of human-AI collaboration and the governance challenges posed by agentic AI. WHO THIS BOOK IS FOR This book is for...