Secrets governance should be owned jointly, but with clear security accountability. Developers and DevOps need to avoid hardcoding or scattering credentials, while security teams should set policy, monitoring, and response standards. Compliance needs evidence of control coverage. Shared responsibility only works when one team defines inventory, risk thresholds, and remediation workflows.
Why This Matters for Security Teams
secrets governance fails when ownership is implied rather than assigned. Developers create and consume credentials, DevOps moves them through pipelines, security defines policy, and compliance needs proof that controls actually work. That shared touchpoint makes secrets one of the fastest paths from a small mistake to broad exposure, especially in CI/CD, cloud automation, and service-to-service integrations. Current guidance suggests treating secrets as operational access assets, not just configuration values.
This is where the control model matters. The OWASP Non-Human Identity Top 10 and NIST Cybersecurity Framework 2.0 both reinforce that visibility, protection, detection, and recovery need a named owner. NHIMG research on the Guide to the Secret Sprawl Challenge shows why: fragmented credential handling creates blind spots, and remediation slows down once secrets are already spread across repos, build logs, and runtime systems.
In practice, many security teams encounter secrets governance only after a leaked token has already been used to pivot through pipelines or cloud services.
How It Works in Practice
Effective ownership starts with one accountable function, usually security or a platform security team, defining the rules for inventory, classification, rotation, storage, and exception handling. Developers and DevOps remain responsible for safe implementation, but they should not decide the risk threshold for long-lived credentials or silently approve one-off exemptions. Compliance then verifies evidence, such as inventory completeness, rotation cadence, alert coverage, and remediation tickets.
The operational model is straightforward: maintain a central secret inventory, tag each secret by system, owner, environment, and expiry, and enforce creation through approved paths only. Use automated discovery to find hardcoded credentials in source, build artifacts, and logs. Require just-in-time or short-lived issuance where possible, and revoke or rotate on deployment, task completion, or anomaly detection. The NIST Cybersecurity Framework 2.0 supports this through identify, protect, detect, and recover functions, while NIST SP 800-63 Digital Identity Guidelines and NHIMG’s guidance on static versus dynamic secrets help frame why static credentials should be minimized.
- Security owns policy, escalation criteria, and exception approval.
- Engineering owns secure usage patterns and removal of hardcoded secrets.
- DevOps owns pipeline enforcement, secret delivery, and rotation automation.
- Compliance owns evidence collection and control testing, not day-to-day remediation.
One useful operating rule is that no secret should exist without a named system owner, an expiry condition, and a documented recovery path. These controls tend to break down in highly federated organisations because separate teams create parallel secret stores and no single service can enforce consistent rotation or revocation.
Common Variations and Edge Cases
Tighter secret control often increases delivery overhead, so organisations must balance speed against governance depth. That tradeoff becomes most visible in legacy systems, third-party integrations, and emergency break-glass access, where short-lived credentials or automated rotation may not be immediately feasible.
Best practice is evolving for machine identities and service accounts. Some teams place ownership in platform engineering, others in security operations, and there is no universal standard for this yet. The practical test is whether one function can prove complete inventory, enforce policy, and force remediation. For high-risk environments, the NIST Cybersecurity Framework 2.0, ISO/IEC 27002:2022 Information Security Controls, and NHIMG’s Top 10 NHI Issues are useful anchors for defining accountability and auditability.
Compliance-heavy sectors should pay special attention to evidence quality. A policy on paper is not enough if repositories, secrets managers, and CI pipelines are not aligned. The right model is shared execution with single-threaded accountability, because distributed ownership without a clear control owner usually turns into fragmented exceptions and slow remediation.
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 SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Covers secret handling, rotation, and exposure risks for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Access control ownership is central to who may issue and use shared credentials. |
| NIST AI RMF | AI governance principles help when secrets support automated or agentic workflows. | |
| CSA MAESTRO | MAESTRO emphasizes secure orchestration of agent and workload credentials. | |
| NIST SP 800-63 | Digital identity guidance informs assurance and lifecycle handling of credentials. |
Apply lifecycle controls so each secret has issuance, expiry, and revocation tied to identity assurance.
Related resources from NHI Mgmt Group
- Who should own secrets security and NHI governance across the enterprise?
- Who should own IaC risk governance when DevOps and security share the same environment?
- Who should be accountable for secrets governance when developer productivity and security controls conflict?
- How should security teams govern non-human identities for compliance?
