Topic starter
02/06/2026 8:49 pm
TL;DR: AI-driven attacks are compressing the time from vulnerability discovery to exploitation while AI agents expand privileged identity exposure, according to Delinea. Standing privilege, unmanaged secrets, and weak runtime authorisation now define the practical attack surface, making just-in-time access and tighter identity discipline urgent.
Editorial analysis by NHI Mgmt Group, based on content published by Delinea: “Mythos: Five Best Practices for Identity Security Leaders”.
Key questions
Q: What breaks when standing privilege is left in place for AI-driven systems?
A: Standing privilege breaks the basic assumption that access can be reviewed before it is used.
Q: When do AI agent credentials create more risk than they reduce?
A: They create more risk when they are long-lived, over-scoped, hard to revoke, or copied into code and prompts.
Practitioner guidance
- Define where standing privilege still exists Inventory privileged accounts, service credentials and AI agent access paths that remain valid across sessions, tasks or workflows.
- Move privileged access to just-in-time issuance Require task-scoped entitlement for administrative actions so that agents and humans receive elevated access only when the work begins and lose it as soon as the session ends.
- Bind secrets to short-lived runtime sessions Separate secret storage from persistent usage by restricting token reuse, tightening session duration and ensuring the credential cannot outlast the workflow that requested it.
Bottom line: AI agents expand the number of privileged identities that can be abused, but the deeper issue is that standing privilege leaves those identities available long enough to be exploited.
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This topic was modified 2 days ago by NHI Mgmt Group
02/06/2026 8:51 pm
Standing privilege is becoming an AI agent exposure amplifier: persistent access was already a weak governance pattern for human admins, but AI agents multiply its reach because they can hold and use credentials continuously. Once the identity subject is software that acts on its own schedule, persistent privilege stops being a convenience and becomes an exposure multiplier. The practitioner conclusion is that privilege persistence now matters more than privilege size alone.
A few things that frame the scale:
- 19% of organisations give AI systems dramatically more access than human employees, nearly one in five granting unrestricted privilege, according to the 2026 Infrastructure Identity Survey.
- 53% of security leaders expect AI to run major portions of their infrastructure autonomously within the next three years, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: How should organisations govern privilege for AI systems that can issue commands?
A: They should govern those systems as privileged actors with bounded authority, not as ordinary applications. That means defining what actions the system may initiate, what data it may reach, and how access is revoked when the task ends or the context changes. If the system can act independently, privilege policy must operate at runtime, not only at provisioning.
👉 Read our full editorial: AI agent identity risk is accelerating privilege exposure in enterprises
This post was modified 2 days ago by NHI Mgmt Group