Machine identity governance should be shared across IAM, PAM, security engineering, and platform teams because the risk sits in runtime access, not just in a vault. Ownership needs to cover issuance, scope, monitoring, and offboarding across every non-human identity type.
Why This Matters for Security Teams
machine identity governance is not a vault problem, a ticketing problem, or only an IAM problem. It is a runtime control problem that touches issuance, privilege scope, rotation, monitoring, and offboarding across service accounts, API keys, certificates, and workloads. NHI Management Group research shows that NHIs outnumber human identities by 25x to 50x in modern enterprises, while 97% carry excessive privileges, which means ownership gaps quickly become exposure gaps. See the Ultimate Guide to NHIs and the NIST Cybersecurity Framework 2.0 for the broader governance context.
The common mistake is assigning machine identity governance to a single control owner and assuming platform teams will handle the rest. In practice, platform engineers may provision identities, IAM may define policy, security engineering may monitor abuse, and PAM may own break-glass paths, but none of those functions alone can close the lifecycle. The result is long-lived secrets, unclear accountability, and weak offboarding. The operational question is not who stores the credential, but who is responsible when a workload keeps using it after the business no longer needs it. In practice, many security teams encounter machine identity risk only after a service account has already been abused, rather than through intentional lifecycle governance.
How It Works in Practice
Current best practice is to treat machine identity governance as a shared operating model with explicit control points. IAM should define identity standards, authentication methods, and policy boundaries. PAM should govern elevated or break-glass machine credentials and privileged workflows. Security engineering should detect misuse, baseline behaviour, and investigate anomalies. Platform and application teams should own the workload context, because they know which identities are created, where they run, and when they can be safely removed. This maps well to the NHI lifecycle described in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs.
Operationally, the shared model works best when ownership is split by function rather than by tool:
- IAM owns standards for issuance, naming, and policy enforcement.
- PAM owns any standing privilege, emergency access, and approval workflow.
- Platform teams own workload registration, runtime binding, and decommissioning triggers.
- Security operations owns logging, alerting, and exception review.
This division matters because machine identity abuse usually happens at runtime, not in the vault. Secrets need short TTLs, scope limits, and automated revocation when workloads end or change. NHI Management Group research highlights how rarely that is done well: only 20% of organisations have formal offboarding and API key revocation processes, and 91.6% of secrets remain valid five days after notification. The Top 10 NHI Issues shows why this lifecycle ownership is central rather than optional. These controls tend to break down in fast-moving CI/CD environments because identities are created automatically faster than governance teams can review or retire them.
Common Variations and Edge Cases
Tighter ownership often increases operational overhead, so organisations must balance clear accountability against delivery speed. That tradeoff is especially visible in cloud-native, multi-account, and hybrid environments where one workload may depend on several machine identities across build, deploy, and runtime stages. Guidance is still evolving on whether a central IAM team should be the formal policy owner or whether platform security should own the operating model, but current guidance suggests the most effective pattern is a federated model with a named accountable owner and delegated implementation.
There are a few important edge cases. First, third-party integrations often fall between teams, so procurement or vendor management may need a formal control role even if they do not manage technical policy. Second, secrets embedded in code or CI/CD systems are not well governed by traditional IAM alone, which is why the 52 NHI Breaches Analysis is useful for understanding how real incidents spread across tooling boundaries. Third, in regulated environments, audit and risk teams may require documented ownership matrices, approval evidence, and revocation SLAs as part of governance. The practical answer is shared ownership with one accountable program lead, not a vague consensus that everyone is responsible and therefore no one is.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Defines lifecycle governance for non-human identities and their ownership gaps. |
| CSA MAESTRO | M1 | Covers governance and operational control of agent and machine identities. |
| NIST CSF 2.0 | GV.RM-01 | Supports governance accountability for enterprise risk from machine identities. |
Create a federated operating model with clear control owners for identity, privilege, and runtime oversight.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 24, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
