Topic starter
25/06/2026 12:56 am
TL;DR: Autonomous agents operate at machine speed across multiple trust boundaries, making PAM, SSO, IGA, and generic NHI controls insufficient for runtime governance, according to Strata Identity. The control problem is not just access management but identity orchestration, because quarterly review models and static credentials assume stable identities that agent behaviour does not provide.
Editorial analysis by NHI Mgmt Group, based on content published by Strata Identity: “Why Identity Orchestration Is the Only Way to Secure Agents”.
Key questions
Q: What breaks when conventional IAM is used to control autonomous AI agents?
A: Conventional IAM breaks when it assumes a mostly human access model with slow approval cycles and static entitlement patterns.
Q: Why do static credentials create more risk for AI agents than for traditional workloads?
A: AI agents execute quickly, can chain actions across systems and may terminate before manual review ever happens.
Q: How do organisations know if identity orchestration is actually working?
A: Look for fewer manual tickets, faster provisioning, and, more importantly, successful revocation across all connected systems.
Practitioner guidance
- Redesign control points around runtime enforcement Move identity checks into the transaction path so authentication, authorisation and audit happen before the agent completes the action, not during a later review cycle.
- Replace static secrets with task-scoped credentials Issue ephemeral credentials that expire with the task and bind them to proof of possession so the agent cannot reuse access beyond the intended workflow.
- Map delegation chains end to end Record which human, policy and identity source authorised each autonomous action so investigators can reconstruct accountability across IdPs and tool boundaries.
Bottom line: Autonomous agents invalidate the assumption that identity remains stable long enough for periodic IAM governance to control it.
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25/06/2026 10:02 am
Legacy IAM control planes are the wrong abstraction for autonomous agents: PAM, SSO and IGA were designed around stable identities, predictable sessions and review cycles that can keep pace with human or service-account behaviour. Autonomous agents collapse those assumptions because identity, decision and execution now happen inside a single machine-speed workflow. The implication is that identity governance has to move from periodic administration to runtime orchestration.
A few things that frame the scale:
- 88% of organisations have embedded AI agents in their workflows, according to KPMG's 2026 report.
A question worth separating out:
Q: What is the difference between PAM and identity orchestration for agents?
A: PAM controls privileged accounts and sessions, while identity orchestration controls how identity, delegation and policy behave during execution. For agents, that distinction matters because privilege is not the whole problem. The decision path itself has to be governed in real time, across human, workload and agent identities.
👉 Read our full editorial: Agentic identity orchestration is replacing legacy IAM control planes