DayBlink Consulting Partner Michael Morgenstern contributed to the Cloud Security Alliance’s publication “Agentic AI Identity and Access Management: A New Approach”, a comprehensive framework addressing the fundamental security gaps created by the rapid proliferation of autonomous AI agents in enterprise environments.
As AI agents evolve from simple task-executors into fully autonomous “digital employees” capable of making decisions, spawning sub-agents, and interacting across organizational boundaries, the identity and access management systems designed for human users are breaking down entirely. This publication argues that traditional protocols like OAuth 2.1 and SAML are structurally inadequate for the agentic paradigm — too coarse-grained, too static, and too human-centric to govern agents that operate at machine speed, scale to tens of thousands of instances, and require permissions that change dynamically in real time. The solution proposed is a purpose-built IAM framework built on Decentralized Identifiers, Verifiable Credentials, Zero-Knowledge Proofs, and a novel cross-protocol session management layer that ensures security policies are enforced consistently — and revocations propagate instantly — regardless of how agents are communicating.
Key Takeaways:
- Traditional IAM protocols (OAuth 2.1, SAML, OIDC) were designed for predictable human users and static machine identities — they fail to support the autonomy, ephemerality, complex delegation chains, and machine-speed authentication demands of modern AI agents operating in Multi-Agent Systems
- Each AI agent requires a rich, cryptographically verifiable identity — anchored by a Decentralized Identifier (DID) and augmented by Verifiable Credentials that attest to its capabilities, behavioral scope, provenance, and compliance status — replacing the inadequate API key and service account models in use today
- A new Agent Naming Service (ANS) enables capability-aware discovery, allowing agents to find and verify each other based on attested functions rather than simple name lookups, directly linking discovery to verifiable identity attributes before any interaction occurs
- The framework’s Unified Global Session Management layer is a critical innovation that ensures IAM policy changes — including security revocations — are propagated instantly and consistently across all agent communication protocols (MCP, A2A, and others), closing a major gap where compromised agents can linger in active sessions
- Organizations should evaluate deployment models (centralized, decentralized, or federated) based on their specific trust, interoperability, and governance needs, and should begin treating Agentic IAM as a governance and risk management priority alongside — not after — their agentic AI investments
Read the full publication here: Link