What it means
Machine identity governance manages service accounts, workload identities, certificates, tokens, and keys used by automation as governed identities with owners and life cycles.
Why it matters
Non-human identities often hold broad persistent access and can outlive the jobs, teams, or systems they were created to support.
Practical focus
- Define the system boundary, accountable owner, approved purpose, material risks, and decision authority for Machine Identity Governance for Automation
- Assign an owner and purpose, use workload-bound credentials, enforce least privilege and separation, rotate secrets, monitor use, and revoke identities at retirement.
- Collect and protect this evidence: identity inventories, ownership, entitlement reviews, issuance and rotation logs, authentication events, exceptions, and revocation evidence.
- Exercise this failure scenario as a planned test: a former pipeline service account remains active with production administrator rights after the repository is archived.
Common mistakes
- Using the label Machine Identity Governance for Automation without defining the exact systems, data, people, decisions, and time period in scope
- Treating a policy statement or tool demonstration as proof that Machine Identity Governance for Automation operates consistently in production
- Failing to retain identity inventories, ownership, entitlement reviews, issuance and rotation logs, authentication events, exceptions, and revocation evidence in a form that lets an independent reviewer reconstruct decisions and changes
- Testing only the normal path and never rehearsing what happens when a former pipeline service account remains active with production administrator rights after the repository is archived.
Certification relevance
This subject appears in or supports the following certification bodies of knowledge: