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Agentic AI is rewriting how work gets done-and how things go wrong. The moment AI stops waiting for instructions and starts taking action, managers inherit a new category of risk: systems that plan, decide, and execute at machine speed, often without clear boundaries. One misconfigured agent can email clients, trigger workflows, or access sensitive systems before anyone notices. This book confronts that reality head on and gives leaders the playbook they need to govern autonomy before it governs them.Inside this book, readers will learn how to: Define precise agent intent, scope, and prohibited actions Build enforceable controls using identity, access, OAuth scopes, and least-privilege design Run practical risk assessments and threat-modeling sessions for agentic systems Establish human-oversight roles, escalation ladders, and decision-latency budgets Design safe development lifecycles, sandboxing, red-team testing, and staged rollouts Monitor agent behavior with telemetry, anomaly detection, and kill-switch patterns Build audit trails, RACIs, and governance artifacts that withstand scrutiny Respond to incidents with containment, recovery, and post-incident learning Scale governance across teams, portfolios, and enterprise environmentsAgentic AI is powerful precisely because it acts. It perceives, plans, and executes multi-step workflows calling APIs, writing files, sending messages, and adapting to new conditions. That same autonomy makes traditional AI governance insufficient. This book shows managers how to govern authority, not just outputs, using a five-layer governance stack: policy, controls, monitoring, human oversight, and audit.Through real-world scenarios and manager-ready tools, you ll learn how to prevent small pilot mistakes from becoming enterprise-level failures. You ll gain the vocabulary, frameworks, and artifacts needed to deploy agentic AI safely, confidently, and at scale.For leaders responsible for AI programs, risk, compliance, product delivery, or enterprise operations, this is the definitive guide to governing AI that acts not just predicts.
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