Microsoft Agent 365 for Enterprise AI Governance: A Step-by-Step Guide to Securing, Monitoring, and Managing AI Agents with Entra Agent ID, Defender, Purview, Zero Trust, and Compliance - Couverture souple

Verne, Lucian

Couverture souple

ISBN 13 : 9798175281645

Editeur : Independently published, 2026

Synopsis

Managing AI agents across an enterprise can feel overwhelming—especially when identity, security, compliance, monitoring, and multiple Microsoft admin tools all seem to connect at once. Microsoft Agent 365 for Enterprise AI Governance turns that complexity into a clear, practical path you can follow step by step.

You do not need previous experience with Microsoft Agent 365 or Microsoft Entra Agent ID to begin. The book introduces the essential concepts progressively, explains why each control matters, and then shows how the pieces work together in realistic enterprise scenarios. Basic familiarity with Microsoft cloud services is helpful, but the emphasis is always on clarity, confidence, and practical understanding.

Rather than overwhelming you with theory, this guide helps you learn how to discover, secure, monitor, govern, and manage AI agents throughout their complete enterprise lifecycle—from first inventory and identity assignment to incident response and secure retirement.

Key Features

• Step-by-step coverage of Microsoft Agent 365 enterprise governance

• Practical guidance for Agent Registry, Agent Map, and Microsoft Entra Agent ID

• Hands-on approaches to authentication, authorization, least privilege, and lifecycle management

• Clear application of Zero Trust and Conditional Access to AI agents

• Microsoft Defender security, threat detection, and incident investigation

• Microsoft Purview data protection, DLP, auditing, retention, and compliance

• AI agent observability, monitoring, governance automation, and production operations

• Practical exercises, governance checklists, policy templates, Microsoft Graph, PowerShell, and KQL references

What You Will Learn

You will learn how to build a reliable AI agent inventory, identify shadow and third-party agents, establish secure agent identities, protect credentials and tokens, apply least-privilege permissions, govern MCP servers and tools, manage owners and sponsors, implement lifecycle controls, detect risky behavior, protect sensitive enterprise data, investigate incidents, and create a sustainable production governance program.

Mistakes and unfamiliar concepts are treated as part of the learning process. Each chapter builds on the last, helping you gain confidence through manageable configurations, investigations, and governance decisions rather than expecting you to master everything at once.

Who This Book Is For

This book is ideal for AI administrators, Microsoft 365 administrators, cloud professionals, identity and security teams, compliance professionals, architects, developers supporting enterprise agents, and technical readers who want a practical introduction to enterprise AI governance. It is especially useful for readers new to Agent 365 who want structured guidance without being buried in unexplained technical complexity.

Table of Contents

1. Microsoft Agent 365 and the Enterprise Governance Model

2. Discovering and Inventorying Enterprise AI Agents

3. Establishing Identity with Microsoft Entra Agent ID

4. Securing Authentication, Authorization, and Agent Access

5. Governing Agent Access and Lifecycle

6. Applying Zero Trust and Conditional Access to AI Agents

7. Protecting AI Agents with Microsoft Defender

8. Protecting Enterprise Data with Microsoft Purview

9. Monitoring, Observability, Auditing, and Investigation

10. Operating Microsoft Agent 365 Governance in Production

If you want to move from uncertainty to a clear, repeatable way of governing enterprise AI agents, this book gives you the practical framework to begin. Start building a more visible, accountable, secure, and production-ready AI agent environment today.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798175281645
• Reliure: Broché
• Nombre de pages: 284
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg