TL;DR: Manual identity lifecycle management slows provisioning, delays offboarding, and increases the chance that former employees keep access after departure, according to Zluri. Automating joiner-mover-leaver workflows turns lifecycle control into a repeatable governance process rather than an error-prone ticket queue.
NHIMG editorial — based on content published by Zluri: 5 Reasons to Automate Identity Lifecycle Management
Questions worth separating out
Q: How should organisations automate identity lifecycle management without losing governance?
A: Start with the highest-risk joiner-mover-leaver events and define source-of-truth triggers from HR or equivalent systems.
Q: Why do delayed offboarding processes create security risk?
A: Delayed offboarding creates security risk because access can remain active after the business relationship ends.
Q: What do security teams get wrong about lifecycle automation?
A: Teams often assume automation is only about efficiency.
Practitioner guidance
- Map the full joiner-mover-leaver chain Document every handoff from HR status change to IT provisioning, role update, and final deprovisioning.
- Measure revocation latency, not just ticket closure Track how long access remains active after a termination, transfer, or role change.
- Build coverage for non-standard applications Include legacy and non-SCIM systems in lifecycle scope, even if they require API-based or agent-assisted integration.
What's in the full article
Zluri's full article covers the operational detail this post intentionally leaves for the source:
- How its zero-touch provisioning flow maps HR events to application access changes
- How secure deprovisioning is configured for departure and role-change events
- How access requests are handled through Slack-based approval workflows
- How the platform extends access control beyond SCIM-compliant applications
👉 Read Zluri's analysis of why identity lifecycle automation reduces access risk →
Identity lifecycle automation: what IAM teams need to fix?
Explore further
Lifecycle automation is now a governance control, not a productivity feature. The article frames automation as a way to save time, but the deeper issue is entitlement accuracy. When joiner-mover-leaver processes are manual, identity state trails business state and access decisions become stale by default. That means lifecycle automation belongs in the core control stack for IAM, IGA, and PAM operations, not in the convenience layer. Practitioners should treat automation as a control boundary that reduces exposure to human delay.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to the 2026 Infrastructure Identity Survey.
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: Who should own identity lifecycle governance across HR and IT?
A: Ownership should be shared, but accountability must be explicit. HR usually owns the status event, IT or identity teams own execution, and application owners own exceptions. Without clear accountability, lifecycle controls fail at the handoff points where access changes are most likely to stall.
👉 Read our full editorial: Identity lifecycle automation reduces offboarding risk and access drift