Every IGA and UAR tool claims the same benefits: automated review cycles, compliance readiness, reduced manual effort. The question worth asking before you evaluate any of them is what your actual bottlenecks are — because the tools that solve the spreadsheet problem don't necessarily solve the reviewer context problem, and the ones with broad app coverage don't always have the compliance reporting depth you need for a SOC 2 audit.

Two recurring issues come up consistently among teams running access reviews at mid-sized organizations. First: reviewers don't have enough context to certify accounts meaningfully — they're handed a list of 200 names and asked to approve or revoke without knowing who is still active, what the account is actually used for, or whether the permission level is appropriate. Second: the apps that most need reviewing are often the ones outside the tool's integration list, which means the review covers the easy, already-governed applications and leaves the riskiest ones to a manual process running in parallel.

If either of those sounds familiar, the tool selection criteria shifts accordingly.

Why Manual Access Reviews Keep Failing Compliance

The spreadsheet-based access review is a known problem. Someone downloads user lists from each application, runs a VLOOKUP against the HR directory to check employment status, screenshots the results as evidence, and emails department heads asking them to confirm who still needs access. The department head responds when they get around to it, if they respond. The review takes weeks, the evidence is a collection of dated screenshots and email threads, and by the time the auditor reviews it the data is already stale.

The structural problem isn't the spreadsheet format — it's that reviewers are being asked to make certification decisions without the context to make them well. A list of names with no usage data, no employment status, no peer comparison for privilege levels, and no indication of which accounts are actually risky produces approvals that mean "I didn't see a reason to revoke" rather than "I verified this access is appropriate."

Tools that automate the data collection but don't surface risk signals to reviewers just make it faster to produce the same low-quality certifications. The auditor gets a timestamped report. The access that should have been revoked stays in place.

What "Ownership Policy" Actually Requires

One commenter in this thread noted that access review automation is straightforward when you have a clear ownership policy over your SaaS stack. That's true and worth unpacking: automation requires knowing who owns each application, who is responsible for reviewing access to it, and what the decision criteria are. Without those, automation generates tasks that no one feels accountable for completing.

The practical prerequisite for any UAR tool is an app catalog with designated owners — not just "IT owns everything" but specific Primary Owner, IT Owner, and Finance Owner assignments per application. Once those exist, automated review campaigns can route certification tasks to the right person rather than sending everything to a generic IT queue.

The integration coverage question is separate: many organizations manage applications that don't have APIs, which means no direct integration is possible. For those apps, the review data has to come from whatever the application can produce — a CSV export, a scheduled report, a file the tool can ingest. Any UAR platform being evaluated for an environment with legacy or no-API apps should be tested against actual data from those systems before the evaluation is considered complete.

How Zluri Automates the Full Access Review Cycle

Zluri's access certification module is built around the specific workflow gaps that spreadsheet-based reviews leave open.

Automated risk flagging for reviewers. Rather than presenting a flat list of accounts, Zluri surfaces risk signals alongside each record: orphaned accounts (no matching active employee in the HR directory), dormant users (no recent activity), and accounts with privilege levels that are unusual relative to peers in the same role or department. Reviewers see which accounts actually warrant scrutiny rather than certifying a list of 200 names without differentiation.

Recurring certification scheduling. Review campaigns can be configured to run automatically at fixed intervals — monthly, quarterly, annually — and triggered by specific events like role changes or extended inactivity. The review cycle runs without someone having to initiate it manually each time, which eliminates the "we forgot to run the Q3 review" scenario that generates audit findings.

Multi-level reviewer configuration. For applications requiring separation of duties, Zluri supports up to five sequential reviewer levels — for example, a reporting manager's certification followed by an app owner's final approval. Self-review restrictions automatically reassign a review task if a user is accidentally assigned to certify their own access.

Automated remediation on revocation. When a reviewer clicks Revoke and adds the required justification, Zluri executes the deprovisioning action via direct API to the downstream application automatically. The gap between "reviewer said revoke" and "access was actually removed" — which in manual processes can be days or weeks — is closed within the same certification workflow.

Auditor-ready reporting. When a certification campaign concludes, Zluri generates a timestamped, non-editable report documenting who was reviewed, what actions were taken, the justification comments, and the remediation timestamps. The report is structured for auditor consumption rather than requiring IT to reconstruct a narrative from email threads and screenshots.

On SecurEnds and Other Tools in This Space

One commenter in this thread noted they evaluated SecurEnds but didn't proceed because key integrations were missing for their environment. Integration coverage is the right first filter for UAR tool evaluation: if the tools you most need to review aren't supported, the platform's other capabilities don't matter for your highest-risk applications.

SailPoint, Omada, and Saviynt are the established enterprise options in this space — capable platforms with broad integration libraries and deep compliance features, priced and implemented accordingly. For mid-sized organizations, the implementation complexity and cost of those platforms often exceeds what the use case requires.

The mid-market alternatives that come up in this thread — Corma, Lumos, Stitchflow, Torii — are worth evaluating depending on your scale and stack. Stitchflow specifically focuses on access reviews for apps without APIs, which addresses the integration coverage problem directly. Torii and Corma approach the same problem from the SaaS management layer, centralizing app and user data as a foundation for governance workflows.

Zluri operates in the same mid-market IGA space with coverage across 300+ native integrations, SDK-based connectors for additional applications, and the manual task routing described above for apps that genuinely can't be automated. The commenter who noted they use Zluri and didn't proceed with SecurEnds due to missing integrations is describing the evaluation criteria that matters most: match the tool's integration coverage to your actual app stack before evaluating anything else.

Frequently Asked Questions

What is the difference between a user access review and an access certification?

The terms are used interchangeably in most contexts. An access review (or access certification) is the process of periodically verifying that users' current access to applications and systems is still appropriate for their role. Reviewers — typically managers or app owners — confirm or revoke each user's access, and the decisions are documented for compliance evidence. SOC 2, ISO 27001, HIPAA, and SOX all require periodic access reviews as part of their control frameworks.

How do you automate user access reviews for SOC 2 compliance?

Automating access reviews for SOC 2 requires: a platform that connects to your application stack and pulls current user lists, an owner assignment for each application, automated scheduling that triggers review campaigns at defined intervals, reviewer workflows that surface risk signals rather than flat lists, and a non-editable timestamped report generated at campaign conclusion. Manual steps can remain for applications without API integrations if those steps are tracked within the platform and logged for audit evidence.

What should you look for when evaluating UAR and IGA tools?

Start with integration coverage for your specific app stack — particularly any legacy or no-API applications that represent compliance risk. Evaluate reviewer experience (does the tool surface risk signals or just present flat lists), remediation automation (does revocation trigger actual deprovisioning), multi-level review support, and the format of the compliance report the tool generates. Test the platform against actual data from your messiest systems before completing the evaluation.

Why do manual access reviews fail to satisfy repeat audits?

Manual reviews generate point-in-time evidence that satisfies an auditor once but doesn't demonstrate ongoing monitoring. Repeat findings typically occur because the review process ran once before the audit and didn't run continuously throughout the year, or because the review covered only the easy applications and left high-risk, non-integrated systems to a parallel manual process. Continuous automated review cycles with structured evidence generation are what auditors look for as evidence of sustained control.

Automate Your Access Reviews End to End

If your current access review process involves spreadsheets, VLOOKUP, or manually chasing reviewers for responses, see how Zluri's access certification module automates the full cycle — from risk-flagged reviewer workflows to timestamped auditor-ready reports — across your complete application stack.