Notifications
Clear all
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.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams reduce risk from standing privilege in AI and NHI environments?
A: Security teams should identify all identities with persistent access, then move the highest-risk ones to just-in-time, task-scoped privilege.
Q: Why do AI agents complicate privileged access management?
A: AI agents complicate privileged access management because they can authenticate, hold secrets, and act repeatedly without the interruptions that constrain human admins.
Q: What breaks when secrets and sessions are not governed together?
A: When secrets and sessions are governed separately, defenders can lose track of whether a credential is still usable after authentication.
Practitioner guidance
- Remove standing privilege from high-risk identities Inventory service accounts, API tokens, and AI agent credentials that retain persistent access after task completion.
- Bind secrets to runtime context Treat secrets as time-bound credentials that should be constrained by workload, tool, and session context rather than reused broadly across environments.
- Apply identity governance to AI agents Classify every AI agent that authenticates to enterprise systems as a governed identity with ownership, approval boundaries, and recertification triggers.
Practitioners should use the AI Agents: The New Attack Surface report to pressure-test where runtime governance is weaker than policy says?
👉 Watch Delinea's session on AI agent identity risk and standing privilege →
Explore further
02/06/2026 8:51 pm
Standing privilege is now the most exploitable control failure in AI-heavy environments. The article's core point is that attackers win faster when identities remain permanently enabled, especially when those identities hold secrets or tool access. Just-in-time access is therefore not a nice-to-have optimisation, but the control that shortens the abuse window. Practitioners should treat persistent privilege as the default condition that needs active removal.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: What should organisations do first when AI-driven attacks speed up exploitation?
A: Organisations should focus first on identities that already combine privilege, persistence, and secret access. Those are the fastest paths to compromise and the hardest to detect manually. The first 24 to 72 hours should be spent reducing exposure windows, validating revocation, and confirming which agents or service accounts can still reach sensitive systems.
👉 Read our full editorial: AI agent identity risk is accelerating privilege exposure in enterprises
