Agentic AI Identity and Access Management: A New Approach
Released: 08/18/2025
Agentic AI is pushing the boundaries of automation, autonomy, and decision-making at machine speed. But traditional identity and access management (IAM) protocols, designed for static applications and human users, can’t keep up.
This publication from the Cloud Security Alliance (CSA) introduces a purpose-built Agentic AI IAM framework that accounts for autonomy, ephemerality, and delegation patterns of AI agents in complex Multi-Agent Systems (MAS). It provides security architects and identity professionals with a blueprint to manage agent identities using Decentralized Identifiers (DIDs), Verifiable Credentials (VCs), and Zero Trust principles, while addressing operational challenges like secure delegation, policy enforcement, and real-time monitoring.
Readers will learn how to:
- Identify shortcomings of OAuth 2.1, SAML, and OIDC in agentic environments
- Define rich, verifiable Agent IDs that support traceable, dynamic authentication
- Apply decentralized and privacy-preserving cryptographic architectures
- Enforce fine-grained, context-aware access control using just-in-time credentials
- Build zero trust IAM systems capable of scaling to thousands of agents
With detailed guidance on deployment models, governance consideration, and threat mitigation using the MAESTRO framework, this publication lays the foundation for secure identity and access in the next generation of AI systems.
Best For:
Who It’s For
- Identity and access management professional
- Security architects and engineers
- AI and ML infrastructure teams
- CISOs and cybersecurity leaders
- Compliance and governance officers
- Enterprise architects deploying Multi-Agent Systems
