A Guide to IAM in the AI Era
Securing Human, Non-Human, and Autonomous Workloads
Welcome to the definitive architectural guide on modern Identity and Access Management.
In a borderless digital world where the corporate network has evaporated into the cloud, identity is the new perimeter. But the entities knocking on your digital front door have fundamentally changed. Today, securing an enterprise requires managing unpredictable human employees, a massive sprawl of hardcoded service accounts, and highly privileged, autonomous AI agents capable of making their own decisions.
This book breaks down complex enterprise security frameworks into a practical, 5-Pillar methodology: People, Process, Technology, Control, and Impact. Whether you are building Zero Trust networks from scratch, migrating away from legacy passwords, or preventing an LLM from leaking proprietary data via Prompt Injection, this guide provides the architectural blueprints to get it done.
Table of Contents
Part 1: The Foundations
- Chapter 1: The Basics - Who, What, and Why Do We Care?
- Chapter 2: The 5 Pillars of Identity (A Framework to Keep You Sane)
Part 2: Human Workloads (The Meatbags)
- Chapter 3: Onboarding, Offboarding, and the Chaos In Between
- Chapter 4: Network Security Meets IAM (Zero Trust, VPNs, and MFA)
- Chapter 5: Practical Controls for Human Risks (Phishing, Insider Threats)
Part 3: Non-Human Identities (The Hidden Army)
- Chapter 6: Service Accounts, APIs, and Bots: The 45x Problem
- Chapter 7: Secrets Management (Killing the Hardcoded Password)
Part 4: AI Workloads (The Autonomous Wild West)
- Chapter 8: The Rise of AI Workloads (Agentic AI and Prompt Injection)
- Chapter 9: Feeding the Machine (Securing RAG and Corporate Data)
- Chapter 10: Governing the AI Ecosystem (Shadow AI and Compliance)
- Chapter 11: Real-World AI Scenarios (Pipelines, Chains, and Tokens)
Part 5: The Consultant’s Playbook
- Chapter 12: Designing the Target Operating Model (Large vs. Small Orgs)
- Chapter 13: Building Your IAM Roadmap
Reference
All written prose in this publication is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Interactive simulators and software snippets are licensed under the MIT License.