Topic starter
07/06/2026 7:57 pm
TL;DR: Access reviews often degrade into rubber stamping because reviewers face too many entitlements, too little context, and too much disruption risk, according to Twine Security. Agentic UARs only improve governance when they raise decision quality, preserve accountability, and keep actions inside explicit permission boundaries.
Editorial analysis by NHI Mgmt Group, based on content published by Twine Security: “Access Reviews are Broken: Why Rubber Stamping Happens (and What Agentic UARs Change)”.
Key questions
Q: What breaks when access reviews are run at high volume without enough context?
A: They degrade into approval-by-default because reviewers cannot tell whether an entitlement is still needed, what it enables, or what will break if they remove it.
Q: Why do agentic UARs need human accountability if AI is helping with review decisions?
A: Because the governance goal is better access decisions, not delegated authority without ownership.
Q: How do security teams know if access analytics is improving governance?
A: Look for sustained reductions in login time, failed authentications, and unresolved workflow anomalies after policy changes.
Practitioner guidance
- Measure decision quality, not completion alone Track revoke and downgrade rates, evidence completeness, and the share of high-risk entitlements that receive a documented rationale.
- Separate recommendation from execution Allow AI to assemble evidence and suggest outcomes, but keep high-impact access changes behind explicit human approval and policy-enforced permission boundaries.
- Tier reviews by access risk Prioritise privileged roles, sensitive data access, anomalous grants, and exceptions, then apply lighter-touch review to low-risk entitlements that are already policy-aligned.
Bottom line: Access review failure is usually caused by weak evidence and review design that rewards completion over judgment, not by a lack of policy language.
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This topic was modified 5 days ago by NHI Mgmt Group
07/06/2026 9:42 pm
Access review failure is usually a decision-signal problem, not an intent problem. The article correctly frames rubber stamping as the predictable outcome of volume, weak context, and high disruption risk. That means the governance gap is not reviewer apathy but a review design that optimises for completion over decision quality. The implication for IAM and IGA programmes is that certification maturity should be judged by revoke and downgrade quality, not campaign closure rates.
A few things that frame the scale:
- More than 95% of infrastructure-as-a-service accounts use less than 3% of the entitlements they are granted, according to Gartner.
A question worth separating out:
Q: What is the difference between assistive review automation and controlled autonomy in IAM?
A: Assistive automation helps gather evidence and draft recommendations, while controlled autonomy allows only bounded actions inside explicit permission limits. The distinction matters because review systems must not become black-box decision engines. In IAM, the safer model is human ownership with machine-generated signal, not machine-owned access governance.
👉 Read our full editorial: Access reviews are broken: what agentic UARs change for IAM
This post was modified 5 days ago by NHI Mgmt Group