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11/06/2026 11:43 pm
TL;DR: Automation can speed up compliance monitoring, reporting, audit trails, and remediation, but manual workflows still fail on errors, delayed detection, and weak scalability, according to Zluri. The real issue is not speed alone: compliance automation only works when identity governance, access reviews, and control evidence are designed for continuous operation, not periodic cleanup.
NHIMG editorial — based on content published by Zluri: Security & Compliance How To Automate Compliance Workflows?
Questions worth separating out
Q: How should security teams automate compliance workflows without losing auditability?
A: Start by automating only the parts of the workflow that already have a clear source of truth for access, approvals, and exceptions.
Q: Why do access reviews still fail when organisations use compliance automation?
A: They fail when automation records activity but does not enforce a decision outcome.
Q: What should teams prioritise first in compliance automation projects?
A: Prioritise the controls that generate the strongest evidence and remove the most manual work, usually access reviews, audit trails, and remediation workflows.
Practitioner guidance
- Map compliance workflows to the underlying identity source of truth Identify which system owns access state, approval state, and exception state before automating any control.
- Automate evidence capture at the point of control execution Generate audit trails when access is granted, reviewed, remediated, or denied, rather than recreating evidence later from ticket history.
- Tie access review outcomes directly to remediation Do not leave certification results in a spreadsheet or queue.
What's in the full article
Zluri's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step workflow mapping for compliance objectives, task ownership, and approval paths
- Tool selection considerations for automation platforms used in access reviews and reporting
- Implementation guidance for integrating automated controls with existing systems and databases
- Continuous monitoring and optimisation practices for automated compliance workflows
👉 Read Zluri's guide to automating compliance workflows →
Compliance automation and access reviews: where the governance gap is?
Explore further
12/06/2026 8:31 am
Compliance automation only works when identity data is already trustworthy. If access records are incomplete, stale, or fragmented across systems, automating the workflow simply accelerates bad evidence. The problem is not the toolchain but the underlying identity state. Practitioners should treat data quality and entitlement completeness as preconditions for any automated compliance model.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
A question worth separating out:
Q: Who should own automated compliance workflows across IAM and NHI?
A: Ownership should sit with the team that controls the identity state being assessed, with compliance as a partner and security as a governance check. In practice, IAM, IGA, PAM, and NHI owners need shared control definitions, because automated workflows fail when no one owns the exception closure step.
👉 Read our full editorial: Automating compliance workflows through identity governance controls
