AI agents can now write code, manage infrastructure, and execute transactions. But capability has outpaced control. Most organizations lack the policies, permissions, and guardrails to operate agents safely at scale. This book closes that gap.

The AI Agent Governance Playbook provides a complete framework for governing semi-autonomous AI agents. You'll learn the three pillars of agent governance: policies that define rules, permissions that enforce boundaries, and guardrails that monitor behavior in real time.

Whether you're an engineer building agent systems, a manager overseeing deployments, or a compliance officer navigating regulations, this book gives you practical guidance that works immediately. The stakes are high, and the organizations that master governance will thrive.

Inside, you'll discover: . Why traditional AI governance fails for agents . Designing permission systems that scale . Building guardrails that actually work . Human-in-the-loop spectrum models . Tool and API governance strategies . Monitoring and incident response . The governance maturity model

Govern your agents. Deploy with confidence.