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03/06/2026 2:20 pm
TL;DR: AI agents are being treated as first-class identities, with real-time governance, immutable human ownership, zero standing privileges, and audit-ready activity trails, according to SailPoint. Access review processes assume access persists long enough to be reviewed; autonomous-style machine-speed execution collapses that assumption before governance can react.
NHIMG editorial — based on content published by SailPoint: Taming the machine: Bringing real-time governance to the agentic workforce
Questions worth separating out
Q: How should security teams govern AI agents as identities?
A: Security teams should govern AI agents in the same identity plane used for human and machine identities, with ownership, entitlement, and audit evidence attached to each agent.
Q: Why do AI agents increase IAM and PAM risk?
A: AI agents increase IAM and PAM risk because they can execute actions quickly once privilege is available, which shortens the time available to detect misuse.
Q: What breaks when AI agent ownership is not tracked?
A: When ownership is not tracked, the agent can become orphaned after a role change or departure, leaving access active without a clear accountable person.
Practitioner guidance
- Classify AI agents as governed identities Bring agents into the same control plane used for workforce identities so ownership, entitlement, and audit records are visible together.
- Apply just-in-time access to agent tasks Remove persistent access where the agent only needs short-lived privilege for a bounded action.
- Attach every agent to a named human owner Require a responsible owner for each agent, then update or revoke access when the owner changes role or exits.
What's in the full article
SailPoint's full blog covers the operational detail this post intentionally leaves for the source:
- How the Agentic Fabric maps agent access into a unified control plane alongside workforce identities
- How immutable human ownership and succession planning are enforced when an agent owner changes role or leaves
- How just-in-time access is applied to short-lived task execution and then revoked automatically
- How audit logs, certification campaigns, and data access governance are tied to agent activity records
👉 Read SailPoint's blog on real-time governance for agentic workforce identities →
AI agent identity governance: what changes for IAM teams?
Explore further
03/06/2026 2:25 pm
Visibility without runtime control is not governance. The article correctly separates discovery from enforcement, which is where many identity programmes fail. Knowing an AI agent exists does not limit the action set it can take once credentials or permissions are available. For practitioners, the lesson is that governance must be measured by what the identity can do at runtime, not by whether it has been catalogued.
A few things that frame the scale:
- 98% of companies plan to deploy even more AI agents within the next 12 months, despite documented rogue behaviour in 80% of current deployments, 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: Should organisations use zero standing privilege for agentic access?
A: Yes, when the agent only needs access for a specific action or session. Zero standing privilege reduces persistent exposure and limits what a compromised or misused agent can touch. It works best when paired with approval, logging, and immediate revocation after the task completes.
👉 Read our full editorial: Real-time governance for AI agents requires identity controls
