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01/07/2026 1:57 am
TL;DR: 61% of organisations lack a complete, central inventory of privileged entitlements, 55% struggle to govern non-human accounts, and 82% do not feel fully prepared to govern new AI agent identities, according to SailPoint’s survey. The governance gap is no longer about access volume alone, but about whether privilege can still be discovered, classified, and contained.
NHIMG editorial — based on content published by SailPoint: Modernizing privileged access in the AI era
By the numbers:
- 61% of organizations admit they lack a complete, centralized inventory of their privileged entitlements.
- 55% report non-human accounts are now among their most difficult to govern.
- 82% do not feel fully prepared to govern them.
Questions worth separating out
Q: How should security teams govern privileged access across human, NHI, and AI identities?
A: They should start with unified discovery, then classify each privileged entitlement by actor type and lifecycle.
Q: Why do non-human accounts make privileged access management harder?
A: Non-human accounts are harder to govern because they are persistent, widely reused, and often embedded in workflows that outlive their original purpose.
Q: What breaks when AI agent identities are treated like ordinary service accounts?
A: The review model breaks because AI agents can select tools and actions at runtime, which means their effective privilege may expand inside a session.
Practitioner guidance
- Discover every privileged entitlement continuously Consolidate privileged access sources across directories, clouds, SaaS, automation, and AI systems into one inventory that can be reviewed and reconciled on an ongoing basis.
- Classify identities by actor type Tag every privileged entitlement as human, non-human, or AI agent so lifecycle rules, review cadence, and escalation controls reflect the actual identity behaviour.
- Tie privilege review to ownership and purpose Require an owner, business purpose, and technical function for each privileged account or token before it enters recertification or exception handling.
What's in the full report
SailPoint's full report covers the operational detail this post intentionally leaves for the source:
- Survey methodology and respondent breakdown for the 2026 privileged access research
- The full findings on privileged entitlement visibility across enterprise environments
- Role-by-role perspective on where organisations are struggling most with AI agent governance
- Practical tips for modernising privilege security posture management
👉 Read SailPoint's report on privileged access in the AI era →
Privileged access in the AI era: what IAM teams are missing?
Explore further
01/07/2026 2:14 am
Privilege visibility is now the prerequisite control for AI-era identity governance. The report shows that organisations still lack a complete, central inventory of privileged entitlements, which means they are trying to govern access they cannot fully enumerate. That is not a tooling shortfall alone. It is the point where PAM, IGA, and NHI governance converge into one visibility problem. Practitioners should treat privilege discovery as the first control boundary for AI adoption.
A few things that frame the scale:
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, according to The 2026 Infrastructure Identity Survey.
- Only 13% of organisations feel extremely prepared for the reality of agentic AI, which reinforces that governance maturity is lagging adoption.
A question worth separating out:
Q: When should organisations prioritise privileged access discovery over more policy rules?
A: They should prioritise discovery first whenever privilege data is incomplete or fragmented across platforms. Policy rules cannot compensate for missing inventory because access reviews, least privilege enforcement, and exception handling all depend on accurate entitlement data. Once visibility is reliable, policy tuning becomes meaningful.
👉 Read our full editorial: Privileged access in the AI era exposes a visibility gap
