Ownership should sit with security leadership, but effective governance requires shared accountability from cloud, platform, application, and compliance teams. Security defines policy and control expectations, while engineering teams manage implementation and lifecycle hygiene. In regulated regions, accountability also needs to align with local compliance obligations and internal risk management processes.
Why This Matters for Security Teams
Secrets security and nhi governance fail fastest when ownership is vague. Service accounts, API keys, OAuth tokens, certificates, and automation credentials often span cloud, platform, application, and DevOps boundaries, so no single team sees the full lifecycle. That gap is exactly where exposure grows, as shown in the NHIMG research on the Guide to the Secret Sprawl Challenge and Top 10 NHI Issues.
The practical risk is not just theft, but unmanaged lifecycle drift: credentials that are duplicated, overused, or never revoked after a workload changes. The control problem is well documented in the OWASP Non-Human Identity Top 10 and in NIST guidance that treats identity, access, and asset governance as shared operational duties in the NIST Cybersecurity Framework 2.0. Security leadership must set the standard, but ownership without engineering accountability becomes policy theatre. In practice, many teams discover the ownership gap only after a secret has already been exposed in a pipeline, ticket, or repo.
How It Works in Practice
Effective ownership is usually a federated model: security owns policy, minimum control requirements, exception handling, and reporting; platform and cloud teams own the control plane; application teams own the identities embedded in their services; and compliance or risk teams verify that obligations are mapped to the right business context. This is consistent with the direction of the NIST Cybersecurity Framework 2.0 and the control expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls.
In operational terms, each team should own a different layer of the lifecycle:
- Security defines what qualifies as a secret, NHI, or privileged automation identity, and sets rotation, revocation, and logging standards.
- Engineering teams register workloads, map secret usage to applications, and remove hardcoded credentials from code and pipelines.
- Platform teams integrate vaults, workload identity, and short-lived issuance into deployment paths.
- Compliance and risk teams ensure regional obligations, retention rules, and segregation-of-duties expectations are met.
That structure works best when supported by inventory, tagging, and evidence collection. The NHIMG 52 NHI Breaches Analysis shows how often failures begin with visibility gaps rather than sophisticated exploitation. Ownership should therefore be tied to measurable control outcomes, such as rotation compliance, orphaned credential cleanup, and least-privilege review completion. These controls tend to break down in highly decentralized environments where teams can create secrets or service identities without central registration because no one can prove who owns the cleanup path.
Common Variations and Edge Cases
Tighter ownership often increases operational overhead, requiring organisations to balance stronger control with release speed and local autonomy. That tradeoff is real, especially in multi-region enterprises, regulated sectors, and M&A environments where identity inventories are incomplete. Best practice is evolving, but the current guidance suggests that ownership should follow where the secret is created, where it is used, and who can revoke it, not just who approved the project.
There are important edge cases. Shared platform secrets may sit with a central infrastructure team, while application-specific tokens belong with the product team that consumes them. Third-party OAuth apps and federated integrations often need joint ownership because vendor risk, business sponsorship, and technical revocation are split across functions. For a deeper view of where teams lose track of these assets, NHIMG’s Ultimate Guide to NHIs is useful context, especially when paired with the governance patterns discussed in the OWASP Non-Human Identity Top 10. The rule of thumb is simple: if a team can create, use, or revoke a secret, that team must be named in the governance model and held accountable for evidence, not just intent.
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, NIST AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Addresses ownership, lifecycle, and visibility gaps for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Access governance needs accountable ownership across enterprise functions. |
| NIST AI RMF | GOVERN | Shared accountability is essential where autonomous systems use secrets and identities. |
| CSA MAESTRO | GOV-2 | Agentic and automated workloads need clear responsibility boundaries and oversight. |
| NIST Zero Trust (SP 800-207) | PA-1 | Zero Trust depends on explicit identity ownership and continuous authorization. |
Map identity ownership to access control responsibilities and verify each workload has a named custodian.
Related resources from NHI Mgmt Group
- How should security teams make NHI best practices usable across the business?
- What is the difference between role-based access and API key governance for NHI security?
- How should security teams use IAST and RASP in NHI governance?
- Why is single-provider AI agent governance not enough for enterprise security?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 28, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
