Serious Managers Guide to AI Identity at Scale

Planning OAuth, Tokens, and Governance

De: JC Louis-Charles

Narrado por: Virtual Voice

Agentic AI is transforming how organizations operate—but it is also exposing managers to a new class of risks that traditional software governance never had to confront. Serious Manager’s Guide to AI Identity at Scale is the definitive playbook for leaders who must deploy autonomous and semi‑autonomous systems responsibly, securely, and at enterprise scale. Instead of abstract theory, this book gives managers the concrete frameworks, artifacts, and decision tools required to govern AI agents that perceive, decide, and act across real business workflows.

The book opens with a scenario that has become increasingly common: an AI agent that “worked” according to its metric but created a compliance crisis because no one defined its authority, boundaries, or escalation rules. From this starting point, the book builds a complete governance architecture that any organization can adopt—whether you are running your first pilot or managing a portfolio of dozens of agents across business units.

Across nine deeply practical chapters, you’ll learn how to classify agent use cases, measure value without wishful thinking, and design governance controls that hold up under real production pressure. You’ll discover how to write precise intent statements, define least‑privilege scopes, implement kill switches, and build audit trails that satisfy both internal stakeholders and external regulators. You’ll also learn how to run tabletop exercises, model cross‑agent risks, design safe development lifecycles, and build oversight roles that prevent incidents before they occur.

What sets this book apart is its focus on identity, access, and control—the foundations of safe agentic AI. You’ll learn how to design OAuth scopes for agents, manage ephemeral credentials, enforce separation of duties, and embed policy directly into CI/CD pipelines and runtime control planes. The book’s artifacts—RACIs, runbook excerpts, model inventory snippets, governance checklists, and decision flows—are designed to be used immediately, not admired.

Whether you are a product leader, engineering manager, security architect, or compliance officer, this guide gives you the vocabulary, structures, and governance muscle memory needed to scale AI safely. You’ll understand how to evaluate risk, design mitigations, measure safety alongside performance, and build governance programs that executives trust and auditors respect.

Agentic AI is not just another software capability—it is a new operational actor inside your business. This book shows you how to define its authority, constrain its behavior, monitor its actions, and hold it accountable. With clear frameworks, real-world scenarios, and ready-to-use governance artifacts, Serious Manager’s Guide to AI Identity at Scale is the essential manual for every manager responsible for deploying AI systems that must be both powerful and safe.