Securing Agentic Identity and Access Management: Designing Zero-Trust Architectures for Multi-Agent AI Systems, Preventing Shadow Agents, Privilege Ab

Securing Agentic Identity and Access Management
Designing Zero-Trust Architectures for Multi-Agent AI Systems, Preventing Shadow Agents, Privilege Abuse, and OWASP ASI03 Risks
Your AI agents are not just answering questions anymore. They are making decisions, calling tools, accessing sensitive systems, spawning sub-agents, and acting across your environment at machine speed. If identity and access controls are weak, one compromised agent can become a hidden operator inside your infrastructure.
Securing Agentic Identity and Access Management is a practical, production-focused guide for building zero-trust identity and access controls for multi-agent AI systems. As agentic workflows grow more autonomous, traditional IAM approaches built for humans and static service accounts begin to fail. Long-lived credentials, broad permissions, weak delegation controls, and poor visibility create the exact conditions that allow shadow agents, privilege abuse, and uncontrolled execution chains to emerge.
This book shows you how to move beyond legacy IAM thinking and design security architectures built specifically for autonomous agents. Instead of offering abstract discussions about AI risk, it gives you a technical roadmap for controlling how agents authenticate, inherit permissions, delegate actions, access tools, and operate inside production environments.
Inside, you will learn how to:

• map OWASP ASI03 risks to real attack paths in multi-agent systems
• design zero-trust identity architectures for autonomous workflows
• replace static API keys with short-lived, cryptographically verifiable workload identities
• enforce task-scoped authorization and context-aware policy controls
• secure inter-agent delegation and prevent token passthrough, trust abuse, and privilege escalation
• detect and eliminate shadow agents operating outside approved guardrails
• build provenance, auditability, and action traceability from original intent to final execution
• apply these controls in real-world deployment patterns across modern orchestration and cloud-native environments

Whether you are an AI engineer, security architect, platform engineer, DevSecOps lead, or technical decision-maker, this book gives you the practical frameworks and implementation patterns needed to secure agentic systems before they become operational liabilities.
If you are building or governing autonomous systems in production, identity cannot be treated as an afterthought. Securing Agentic Identity and Access Management gives you a serious, actionable blueprint for building multi-agent environments that are secure, traceable, and controlled by design.
Build safer agentic systems, prevent shadow access, and take control of AI-driven identity before privilege abuse takes control of your environment.