AI Agent Authority: The Technology of Granting AI Permission to Act by REIMEI KAKERU
English | September 27, 2026 | ASIN: B0HL5T59F9 | 446 pages | EPUB | 17.55 Mb
AI agents are evolving from systems that simply answer questions into autonomous digital actors that can access data, call APIs, invoke tools, modify systems, and collaborate with other agents.
This evolution creates a fundamental security question:
What should an AI agent be allowed to do?
Traditional IAM and RBAC models were primarily designed around human users and relatively predictable applications. AI agents introduce a different challenge. They can dynamically select tools, chain multiple actions, operate across systems, and act on behalf of humans or organizations.
This book explores how identity and authorization must evolve for the age of agentic AI.
It provides a practical introduction to AI agent identity, authentication, authorization, least privilege, RBAC, ABAC, just-in-time access, tool permissions, delegated authority, human-in-the-loop controls, auditability, and multi-agent security.
The book also examines why prompts and instructions alone should not be treated as security boundaries. Instead, the capabilities available to an AI agent should be technically constrained through identity, authorization policies, tool allowlists, scoped credentials, and runtime controls.
Key questions include:
* What permissions should an AI agent have?
* How should an agent act on behalf of a human?
* Who is responsible when an autonomous agent performs an unintended action?
* How should permissions be controlled when an agent chains multiple tools and systems?
* How can organizations implement least privilege for autonomous AI?
As AI agents become part of enterprise infrastructure, permission management will become a fundamental component of AI security and governance.
This book provides a practical framework for understanding and designing authorization models for the next generation of AI systems
Table of Contents
Introduction: The Age of Granting AI "Authority"
Chapter 1: AI Agents and Authority
Chapter 2: The Basic Structure of AI Agent Authority
Chapter 3: AI Agent Identity
Chapter 4: The Principle of Least Privilege
Chapter 5: Delegating Authority to AI
Chapter 6: Autonomy and Authority in AI Agents
Chapter 7: Tool Authority for AI Agents
Chapter 8: Data Authority for AI Agents
Chapter 9: Dynamic AI Agent Authority
Chapter 10: Privileged Authority for AI Agents
Chapter 11: Multi-Agent Authority
Chapter 12: Zero Trust and AI Agent Authority
Chapter 13: Attacks on AI Agent Authority
Chapter 14: Auditing AI Agent Authority
Chapter 15: The Lifecycle of AI Agent Authority
Chapter 16: AI Agent Authority Architecture
Chapter 17: Enterprise AI Agent Authority Management
Chapter 18: AI Agent Authority in Critical Infrastructure
Chapter 19: The AI Agent Economy and Authority
Chapter 20: How Will "Authority" Change in the Age of AI?
Appendix: Practical Templates
Supplementary Chapter A: An Adoption Roadmap
Supplementary Chapter B: Glossary
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