Ownership should sit with a clear security and platform governance model, not with ad hoc tool users. The responsible team needs authority over discovery, policy, lifecycle controls, and escalation when exposed credentials appear. In practice, shared accountability across IAM, cloud, and engineering is necessary, but one group must coordinate enforcement.
Why This Matters for Security Teams
Non-human identity governance fails fastest when ownership is split between developers, cloud operators, and security teams without a single enforcement point. Secrets are created by build systems, copied into developer machines, embedded in automation, and reused by cloud services, so the blast radius is cross-functional by default. NHIMG’s Guide to the Secret Sprawl Challenge shows how quickly fragmentation undermines control, while the 52 NHI Breaches Analysis illustrates that exposed machine credentials are rarely contained to one team’s scope.
The practical issue is authority, not awareness. Security may define policy, platform teams may run the tooling, and engineering may generate the secrets, but if no group can discover, classify, rotate, revoke, and escalate on its own, the process becomes advisory only. That is why current guidance from the NIST Cybersecurity Framework 2.0 and OWASP Non-Human Identity Top 10 points toward clear ownership, not diffuse accountability. In practice, many security teams encounter secret sprawl only after a leaked token has already been reused across environments.
How It Works in Practice
The most workable model is a federated one with a single coordinating owner. Security should own policy, risk acceptance, and incident response thresholds. Platform engineering should own the control plane for discovery, secret scanning, rotation workflows, and workload identity standards. Cloud and application teams remain accountable for the identities they create and the systems they operate, but they should not be the final arbiters of policy exceptions. This aligns with the control intent in NIST SP 800-53 Rev 5 Security and Privacy Controls, where accountability and access enforcement need an explicit operating owner.
In practice, the governance model should answer four questions:
- Who can discover secrets across code, endpoints, CI/CD, and cloud control planes?
- Who can approve policy for issuance, storage, rotation, and revocation?
- Who receives alerts when a secret is exposed or a workload identity is over-privileged?
- Who can force remediation when the owning team does not act fast enough?
That operational split matters because the same secret often appears in developer machines, automation runners, and cloud services. NHIMG’s 230M AWS environment compromise and CI/CD pipeline exploitation case study show how quickly one exposed credential can become a platform-wide issue. The operating model should therefore enforce shortest-possible credential lifetimes, separation of duties for rotation approvals, and reporting into a shared risk register so ownership is visible when incidents cross team boundaries. These controls tend to break down in fast-moving CI/CD environments because secrets are created and reused faster than manual review and exception handling can keep up.
Common Variations and Edge Cases
Tighter ownership often increases coordination overhead, requiring organisations to balance faster developer delivery against stronger control and escalation discipline. That tradeoff is especially visible in startups, platform-heavy enterprises, and regulated environments, where the right owner may differ by workload class. There is no universal standard for this yet, but current guidance suggests the model should follow where the risk is introduced, not where the secret is first discovered.
For example, a developer laptop secret may be operationally owned by engineering but governed by security policy; a cloud access key used by automation may be owned by the platform team because it is tied to workload runtime; and a shared service token may need centralized ownership if multiple systems can misuse it. The key is to avoid “everyone owns it” because that usually means no one can revoke it under pressure. Research from The State of Secrets in AppSec reinforces this point: fragmented secrets management and slow remediation create avoidable exposure, even when teams believe they are covered.
Best practice is evolving toward a security-and-platform-led model with engineering participation, not engineering-only or IAM-only ownership. Where organizations run mature governance, ownership is documented in policy, enforced by tooling, and measured by response time, not by ticket assignment alone.
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 AI RMF, NIST CSF 2.0 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Addresses ownership and lifecycle control for non-human identities and secrets. |
| CSA MAESTRO | GOV-01 | MAESTRO stresses governance boundaries for autonomous and machine identities. |
| NIST AI RMF | GOVERN | AI RMF governance applies when automation creates or uses secrets at scale. |
| NIST CSF 2.0 | GV.OC-02 | CSF governance requires roles and responsibilities for cyber risk ownership. |
| NIST SP 800-63 | Digital identity guidance informs assurance for machine and workload identities. |
Use strong identity proofing and lifecycle controls for service and automation identities.
Related resources from NHI Mgmt Group
- Why do collaboration platforms create unique risk for non-human identities and secrets governance?
- Why do non-human identities create more operational risk when organisations scale AI and cloud adoption?
- Who should be accountable for cloud identity governance when both developers and non-human identities need access?
- What is the difference between secrets sprawl and non-human identity governance?
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
