TL;DR: Access reviews can still fail audits even when teams certify large volumes of users, because pre-launch validation, remediation verification, and evidence collection often break down across 40 to 50 checkpoints, according to Zluri. The control gap is not review effort; it is whether the process proves current data, executed revocations, and auditable outcomes.
NHIMG editorial — based on content published by Zluri: The Complete User Access Review Checklist with customization guidance
By the numbers:
- Every access review touches 40-50 critical execution checkpoints across five phases.
- Poor launch communication causes 40-60% completion rates instead of 85-95%.
- 30-40% of SaaS applications are purchased with corporate cards and never integrated with IT systems.
Questions worth separating out
Q: What breaks when access reviews rely on stale source data?
A: Stale source data pushes certifications onto the wrong reviewers, leaves orphaned accounts without owners, and produces decisions against a reality that no longer exists.
Q: Why do access reviews often look complete but still fail audits?
A: Completion only proves that reviewers clicked through the workflow.
Q: How do security teams know whether access revocations actually worked?
A: They test the target application or entitlement path after remediation and confirm that the revoked account can no longer authenticate or inherit access through a downstream group.
Practitioner guidance
- Validate source data before launch Check manager hierarchies, application ownership, and user inventories within seven days of the review start so assignments match current reality.
- Confirm scope includes shadow applications Compare the in-scope application list against procurement records, expense data, and discovery outputs so corporate-card purchases do not escape review.
- Track remediation to the target system Do not close revocation work when the ticket changes state; verify the access is removed in each integrated or manually managed application.
What's in the full article
Zluri's full article covers the operational detail this post intentionally leaves for the source:
- A phase-by-phase access review checklist covering pre-launch preparation, launch, in-flight management, remediation, and post-review evidence.
- Practical customization guidance for teams that run reviews across multiple applications, owners, and approval paths.
- Examples of validation steps for revocations, data freshness, and evidence packages that are useful when you need to operationalise the process.
- Template structure for turning the checklist into a repeatable workflow rather than a one-time manual exercise.
👉 Read Zluri's checklist for complete user access review execution →
Access review checkpoints: where reviews fail in practice?
Explore further
Access review governance fails when teams confuse completion with control. The article shows that certification, remediation, and evidence generation are distinct control stages, not one administrative task. A review that is 90% complete can still fail because the final 10% is where proof of control lives. Practitioners should treat review effectiveness as a chain of verifiable outcomes, not a participation metric.
A few things that frame the scale:
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
- NHI Mgmt Group research also finds that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
A question worth separating out:
Q: Who is accountable when an access review leaves inappropriate access in place?
A: Accountability usually spans the certification owner, the system owner, and the identity governance team because each controls a different stage of the process. If the process lacks validation or evidence, the governance function owns the control weakness even when business reviewers made the decisions.
👉 Read our full editorial: User access review failures are usually execution failures, not effort failures