Topic starter
24/06/2026 10:40 pm
TL;DR: Standing privilege for AI agents and other non-human identities in hybrid environments is being targeted by a shift that ties privileged access management to just-in-time runtime authorisation, aiming to eliminate static credential models that cannot govern machine-speed access decisions reliably, especially where autonomous systems act across cloud and DevOps workflows, according to Delinea.
Editorial analysis by NHI Mgmt Group, based on content published by Delinea: “Delinea Completes StrongDM Acquisition to Secure AI Agents with Continuous Identity Authorization”.
Key questions
Q: What breaks when AI agents are given standing privileges?
A: Auditability, containment, and accountability all degrade.
Q: Why do just-in-time access controls matter for non-human identities?
A: JIT matters because it reduces the time a secret, token, or privileged session remains usable.
Q: How do security teams know whether continuous authorisation is actually working?
A: Teams know it is working when sensitive actions are blocked or stepped up based on context, not just login state.
Practitioner guidance
- Map standing privilege across AI and machine workflows Identify where AI agents, service accounts, and engineering automations still hold durable access to infrastructure, databases, containers, or CI/CD pipelines.
- Move high-risk actions to runtime approval Require privileged operations to be authorised at execution time, with policy evaluated against context, target system, and current task scope.
- Tighten machine identity discovery and ownership Maintain an inventory of every identity that can perform privileged actions, then assign a clear owner and lifecycle for revocation, review, and exception handling.
Bottom line: Standing privilege is the control mismatch this acquisition is trying to address for AI agents and other non-human identities.
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This topic was modified 12 hours ago by NHI Mgmt Group
25/06/2026 7:27 am
Standing privilege has become a governance mismatch for machine-speed actors: Access models that rely on issuance-time approval assume a human-paced lifecycle, but AI agents and other NHIs can consume privilege, act, and move on before a review ever occurs. The important shift is not simply faster automation, but a different access tempo that makes persistent privilege the wrong default. Practitioners should treat standing privilege as an outdated assumption in modern identity programmes.
A few things that frame the scale:
- 69% of organisations still authenticate machine identities with long-lived API keys, according to the 2026 State of AI Agent Identity Security Report.
A question worth separating out:
Q: What happens when machine identities keep access beyond the task they were built for?
A: They create unnecessary exposure to credential theft, phishing, and misuse of downstream systems. A machine identity that persists after its task has ended is harder to govern, easier to abuse, and more likely to turn a narrow operational need into a broad privileged access problem.
👉 Read our full editorial: Delinea’s StrongDM acquisition reframes AI agent privilege control
This post was modified 12 hours ago by NHI Mgmt Group