IT process automation tools and the identity governance gap

TL;DR: IT process automation tools can reduce manual work and improve consistency, but they also expand the number of machine-driven workflows that inherit secrets, service accounts, and access paths, according to Zluri. The real issue is not automation itself, but whether identity governance can keep pace with the non-human access behind it.

Editorial analysis by NHI Mgmt Group, based on content published by Zluri: “Top 14 IT Process Automation Tools To Try In 2026”.

Key questions

Q: How should security teams govern access when automation handles most requests?

A: Security teams should treat automation as the default execution path and build policy around exception handling, risk thresholds, and enforcement hooks.

Q: Why do AI tools create new identity governance risks for IAM teams?

A: AI tools create new identity governance risks because they combine fast adoption with broad access paths and subordinate permission objects.

Q: What breaks when workflow credentials can be used by someone other than the owner?

A: Ownership-based governance breaks because the person who created the credential is no longer the only actor who can exercise it.

Practitioner guidance

• Inventory automation-bearing identities Document every service account, API key, token, and certificate used by automation tools, then map each one to a named business owner and system owner.
• Tighten workflow-scoped privilege Limit each automation workflow to the smallest set of systems and actions it needs, and separate credentials by process rather than sharing them across teams.
• Bind offboarding to workflow retirement Remove non-human credentials when the automation use case ends, not when a periodic review eventually catches the stale access.

Bottom line: Automation tools are not just efficiency enablers. They also create identity-bearing workflows that can hide non-human access from ordinary governance processes.

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