Ownership should sit with the identity governance function, but accountability must be shared with system owners and platform teams that control the source systems. When machine identities are involved, the control objective is the same as for humans, which is to ensure every account has a purpose, an owner, and a lifecycle endpoint.
Why This Matters for Security Teams
When human and machine identities overlap, governance breaks down fastest at the seams: who approves access, who revokes it, and who is accountable when an account outlives its purpose. That matters because NHIs are rarely isolated assets. They sit inside CI/CD, SaaS, cloud, and integration workflows, so a weak ownership model turns ordinary service accounts into hidden enterprise risk. NHI governance is not a side topic; it is part of identity governance, change control, and operational resilience. Current guidance aligns most cleanly with the NIST Cybersecurity Framework 2.0 emphasis on ownership, access control, and ongoing oversight.
NHIMG research shows why this is not theoretical. In The State of Non-Human Identity Security, lack of credential rotation was cited as the top cause of NHI-related attacks by 45% of organisations, with monitoring gaps and over-privilege close behind. That pattern usually reflects an ownership gap more than a tooling gap. In practice, many security teams encounter compromised machine identities only after a pipeline, integration, or vendor connection has already been abused, rather than through intentional lifecycle review.
How It Works in Practice
Ownership should be split into two layers: governance ownership and operational accountability. The identity governance function sets policy, defines required evidence, and enforces lifecycle standards for both human and machine identities. System owners and platform teams remain accountable for the source systems that create, use, or retire those identities. That division prevents the common failure mode where security is asked to approve everything but cannot actually change the system that issues the credential.
Practically, mature programs map each NHI to a business service, technical owner, and expiry or review trigger. For machine identities, that means tying the account to a workload, application, integration, or automation job rather than to a person who merely requested it. The lifecycle should include provisioning, approval, periodic recertification, credential rotation, revocation, and abandonment detection. NHIMG’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful here because it frames the control problem as a lifecycle issue, not a one-time access grant.
A workable operating model also uses shared evidence. Identity governance tracks policy compliance, while platform teams prove that service accounts, API keys, tokens, and certificates are inventoryable, rotated, and removed when no longer needed. The Top 10 NHI Issues research is a practical reminder that over-privilege and stale credentials often travel together. A review cadence that is too slow, or a discovery process that misses shadow integrations, defeats the purpose of central ownership. These controls tend to break down in fast-moving engineering environments with unmanaged service creation because no single team can reliably attest to what exists.
Common Variations and Edge Cases
Tighter governance often increases coordination overhead, requiring organisations to balance auditability against delivery speed. That tradeoff is most visible in hybrid environments where humans, scripts, bots, and managed services all interact with the same platform. In those cases, the right answer is not to force every identity into one approval flow, but to assign one accountable owner per identity class and one remediation owner per control failure.
There is no universal standard for this yet, but current guidance suggests a few consistent patterns. Shared service accounts should not be ownerless just because multiple teams use them. Vendor-managed identities should still have an internal business owner and an expiry condition. Ephemeral workload identities should be governed through automation, but still recorded in inventory and recertified at the service level. Where regulatory scrutiny is high, the Ultimate Guide to NHIs — Regulatory and Audit Perspectives helps frame how auditors expect evidence of ownership, review, and removal. The hard edge case is cloud-native sprawl with self-service provisioning, because ownership claims decay faster than the identities themselves.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers ownership and lifecycle gaps for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Addresses identity and credential governance across shared environments. |
| NIST AI RMF | Supports governance accountability for autonomous or machine-driven identity use. |
Document who approves, operates, and reviews each identity class, then enforce that split in process.
