Ownership should sit with a clearly defined governance function that can coordinate PKI, cloud, DevOps, and security operations. The key is not centralisation for its own sake, but a single accountable model for policy, lifecycle actions, and evidence generation across the environment.
Why This Matters for Security Teams
When machine identities span platform, application, cloud, and operations teams, the failure is usually not technical key issuance but fragmented accountability. One group creates the workload, another approves access, a third rotates secrets, and no one can prove who owns the cryptographic trust chain end to end. That gap matters because NHIs often have broader and longer-lived access than humans, and the attack surface grows quickly when service accounts, API keys, and certificates are treated as local implementation details rather than governed assets. NHI Mgmt Group notes that 80% of identity breaches involved compromised non-human identities, which is why ownership has to cover policy, lifecycle, and evidence, not just issuance. A useful benchmark is NIST Cybersecurity Framework 2.0, which expects clear governance and risk ownership across identity controls. In practice, many security teams discover the ownership gap only after a stale certificate, leaked token, or broken offboarding path has already been exploited.
How It Works in Practice
The most workable model is a single accountable governance function with delegated execution to PKI, cloud, DevOps, and security operations. That owner should define trust policy, approve exceptions, set rotation and expiry standards, and maintain the evidence trail for audits and incident response. It should not mean one team manually handles every secret; rather, it means one team owns the rules and the control plane for how trust is created, used, and revoked.
In practical terms, that governance function should require workload identity first, then bind credentials to purpose and environment. Long-lived static secrets should be replaced where possible with short-lived tokens, JIT credential provisioning, and automated revocation tied to deployment or job completion. For service-to-service trust, the team should standardise on a consistent identity primitive and policy checks at request time, then document exceptions when a legacy system cannot support it. Guidance from NIST Cybersecurity Framework 2.0 and the JetBrains GitHub plugin token exposure case both point to the same lesson: tokens and keys fail when they are distributed faster than they are governed.
- Assign one accountable owner for cryptographic policy, even if execution is federated.
- Track every NHI from issuance to offboarding, including certificates, API keys, and service account secrets.
- Require rotation, expiry, and revocation evidence as part of change management.
- Use RBAC for baseline access, but add context-aware checks for higher-risk operations.
Current best practice is to treat trust ownership as a control function, not a ticket queue. These controls tend to break down in multi-cloud Kubernetes estates with ad hoc pipelines because identities are minted dynamically faster than governance can reconcile them.
Common Variations and Edge Cases
Tighter cryptographic governance often increases operational overhead, requiring organisations to balance speed of delivery against control consistency. That tradeoff is most visible in hybrid estates, acquired businesses, and platform teams that already run their own PKI or secret store. Best practice is evolving, but there is no universal standard for whether the central governance owner must also operate the tooling, or only define the policy and assurance model.
In regulated environments, a central security or identity function usually owns the policy layer, while platform teams implement automation under that policy. In smaller engineering organisations, a lead platform team may hold day-to-day ownership, provided there is a named security approver and a formal evidence trail. The key risk is split ownership without escalation: if DevOps can issue credentials but security can only review them after the fact, trust becomes reactive instead of governed.
This is where frameworks help with role clarity. NIST Cybersecurity Framework 2.0 supports accountable governance, while JetBrains GitHub plugin token exposure shows how quickly machine secrets become an exposure point when ownership is unclear. The practical rule is simple: if no team can revoke, rotate, and prove the current state of a machine identity within one control cycle, ownership is not actually defined.
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 | Defines governance and ownership for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Access governance needs clear identity ownership and approval paths. |
| NIST AI RMF | Accountability for autonomous systems and their trust paths is a governance concern. |
Map machine identity ownership to PR.AC-1 and formalise who approves, issues, and revokes trust.
