Ownership should sit with the identity programme, not with a single platform team. Machine identity risk crosses lifecycle, authorization, and secret management, so accountability has to span the teams that issue access, govern privileges, and retire credentials. Otherwise, the gaps between them become the attack path.
Why This Matters for Security Teams
When IAM, PAM, and secrets management overlap, machine identity risk is not just an ownership problem. It becomes a control failure across issuance, authorization, and revocation. The practical issue is that workloads do not respect platform boundaries: a token can be minted in one system, used in another, and persist long after the intended task is complete. That is why the identity programme, not a single tool owner, has to coordinate accountability.
NHIMG research on the Guide to the Secret Sprawl Challenge shows how fragmentation creates gaps that attackers exploit, especially when secrets, service accounts, and privileged workflows are managed as separate problems. The broader pattern is also visible in the Top 10 NHI Issues: unclear ownership tends to produce duplicated controls, inconsistent rotation, and slow incident response. Current guidance from the NIST Cybersecurity Framework 2.0 still points to governance, risk, and asset accountability as foundational, which is exactly where machine identity oversight belongs.
In practice, many security teams encounter machine identity compromise only after a leaked secret or over-privileged service account has already been chained into lateral movement, rather than through intentional lifecycle control.
How It Works in Practice
The most workable operating model is shared execution with single-threaded accountability. The identity programme should own the policy and risk model for all non-human identities, while IAM, PAM, and secrets teams each own the controls they operate. That means one group defines who can request, approve, issue, use, and retire machine credentials, and the supporting platforms enforce those decisions consistently.
For most organisations, this starts with a machine identity inventory: service accounts, API keys, workload certificates, tokens, and privileged automation accounts. Next comes control mapping. IAM typically governs lifecycle enrollment and authentication, PAM governs elevation and session constraints, and secrets management governs storage, rotation, and retrieval. The problem is not that these functions exist separately. The problem is that they are often measured separately, which hides shared risk. NHIMG’s Ultimate Guide to NHIs frames this as a lifecycle issue, while the OWASP Non-Human Identity Top 10 highlights how weak ownership turns into misconfiguration, privilege creep, and stale credentials.
- Set one accountable owner for NHI risk, usually within identity governance.
- Assign control owners separately for IAM, PAM, and secrets tooling.
- Use a shared policy standard for issuance, approval, rotation, and revocation.
- Review exceptions across all three domains together, not in isolation.
- Track incident response on end-to-end identity paths, not only on the compromised tool.
The operational objective is not centralisation for its own sake. It is making sure one team can answer who approved access, who enforced privilege, who stored the secret, and who retired it. These controls tend to break down in fast-moving CI/CD environments because machine identities are created and consumed faster than quarterly governance reviews can reconcile them.
Common Variations and Edge Cases
Tighter ownership often increases coordination overhead, requiring organisations to balance clearer accountability against the friction of cross-functional review. That tradeoff is real, especially in engineering-led environments where platform teams resist policy gates that slow delivery.
There is no universal standard for this yet, but current guidance suggests separating governance ownership from operational stewardship. For example, a platform engineering team may operate the secrets manager, yet the identity programme still owns the risk acceptance criteria and exception handling. Likewise, PAM may enforce session controls for administrators, but it should not become the sole owner of service account risk simply because a workload touches privileged systems.
The edge cases are usually where boundaries blur: break-glass credentials, ephemeral CI/CD runners, embedded API keys, and legacy workloads that cannot yet support workload identity. In those cases, best practice is evolving toward shorter TTLs, stronger rotation, and workload-bound credentials where possible, but the transition is rarely clean. NHIMG’s Static vs Dynamic Secrets guidance is especially relevant here, because long-lived secrets tend to survive organisational handoffs and become orphaned risk. The practical lesson is that ownership should follow the identity lifecycle, even when the tooling does not.
Organisations that treat IAM, PAM, and secrets as separate ownership domains usually discover the overlap first during an incident review, not during design.
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 | Ownership gaps drive weak lifecycle control and secret sprawl. |
| NIST CSF 2.0 | GV.RM-01 | Risk governance is required when multiple teams share identity controls. |
| CSA MAESTRO | MAESTRO addresses agent and workload trust boundaries across tools. |
Assign one accountable owner for each machine identity lifecycle and enforce review at issuance, use, and retirement.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org