Topic starter
20/08/2025 3:29 pm
TL;DR: Clarity Security argues that identity governance was built around human access review and lifecycle control, but NHI sprawl and AI agents expose a control gap because identities can move faster than legacy IGA processes can track. Access review assumes a stable identity long enough to certify, yet machine and agent identities can appear, change, and disappear on operational timelines that break that assumption.
Editorial analysis by NHI Mgmt Group, based on content published by Clarity Security.
Key questions
A: The main failure is that certification and lifecycle controls assume a stable identity with a human-style ownership model.
Q: Why do AI systems create NHI governance problems?
A: AI systems often rely on service accounts, tokens, APIs, and delegated permissions that behave like non-human identities.
Q: How should security teams include non-human identities in IGA?
A: Treat service accounts, tokens, and application identities as governed assets with owners, purpose, expiry, and review cadence.
Practitioner guidance
- Define NHI and agent ownership records Map every service account, token, certificate, and AI agent to a named business owner and a technical custodian.
- Tie revocation to lifecycle triggers Link offboarding to deployment retirement, vendor termination, workload replacement, and agent decommissioning instead of relying on periodic review alone.
- Extend access reviews beyond human accounts Include non-human identities in certification scope and require reviewers to validate purpose, owner, and current runtime need rather than entitlement presence only.
Bottom line: Identity governance built for employees will miss important risk if it is not extended to NHIs and AI agents with their own lifecycle logic.
What's in the full article
Clarity Security's full blog post covers the operational detail this post intentionally leaves for the source:
- How the vendor frames identity governance as a response to SOX-era control expectations
- The role of automation in lifecycle management for access reviews and orphaned account reduction
- Examples of how audit and compliance objectives shape identity governance programmes
- The vendor's view on how its platform is positioned against audit failures and lifecycle risk
👉 Read Clarity Security's analysis of identity governance for NHIs and AI agents →
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This topic was modified 10 months ago 4 times by Abdelrahman
This topic was modified 5 days ago by NHI Mgmt Group
07/10/2026 6:34 pm
Identity governance is no longer a human-only control plane. The article’s central problem is not that IGA is obsolete, but that its original operating assumptions were built for people and persistent accounts. NHIs and AI agents change the governance subject, the timing model, and the evidence model at the same time. Practitioners should treat identity governance as a cross-actor discipline, not a human-only process.
A few things that frame the scale:
- Nearly 60% of IT leaders cite restrictive cost and complexity as a weakness of legacy identity governance, according to the 2025 State of Identity Governance Report.
A question worth separating out:
Q: When should organisations prioritise posture management for NHIs and AI agents?
A: Prioritise it before large-scale deployment, not after incidents or budget reviews. If visibility is limited, excess privilege and stale credentials will accumulate faster than teams can remediate them. Baseline discovery and exposure mapping should come before expansion, because they reduce the size of the blind spot that attackers exploit.
👉 Read our full editorial: Identity governance for NHIs and AI agents is now a control gap