AI SECURITY & AGENTIC AI RISK HANDBOOK: Securing Autonomous Systems, Models, Agents and Enterprise AI
Agentic AI systems can plan, act and call tools on their own, which creates new security, safety and governance risks. This handbook explains how AI agents fail, how they are attacked and how to control them in production.
Inside this book, ten parts cover:
Enterprise AI InventoryAgentic AI ArchitectureMachine IdentityPrompt and Tool SecurityModel and Data SecurityAI Supply ChainMonitoring and DetectionAI Incident ResponseAI GovernanceAI Assurance and Red TeamingIt is written for CISOs, AI engineers, risk leaders, auditors and boards. It turns AI and agent risk into controls, assurance evidence and governance decisions.
Every part ends with practical tools: evidence registers, decision records, scenario exercises and a 30/60/90-day plan. A full bibliography and index are included.
Part of the Global Cyber-Geopolitical Intelligence 2027 series by Professor Kai London.