Because secrets and non-human identities often cross repositories, CI/CD pipelines, cloud workloads, and developer tooling faster than manual review can follow. If their lifecycle, rotation, and privilege scope are not centrally governed, code-level analysis will miss the operational path by which attackers gain access.
Why This Matters for Security Teams
Secrets and non-human identities are governance issues because they are not just artifacts in code, they are operational credentials with real access paths. A leaked token, certificate, or service account can outlive the change that introduced it and may be reused across build systems, cloud services, and automation layers. The result is a control gap between what AppSec scans can see and what attackers can actually use. That gap is central to the NIST Cybersecurity Framework 2.0 emphasis on governance, asset visibility, and access control.
Practitioners often focus on finding exposed secrets in source repositories, but governance failures usually start earlier: no clear owner, no inventory, no expiry policy, and no enforcement of least privilege across the systems that issue and consume those credentials. Non-human identities are especially difficult because they are often provisioned for speed, then left to drift as pipelines evolve and services are duplicated. In practice, many security teams encounter abuse of secrets only after a deployment pipeline or cloud workload has already been used as the entry point, rather than through intentional lifecycle control.
How It Works in Practice
Effective governance treats secrets and non-human identities as managed identities with a lifecycle, not as static strings to be scanned and removed. That means every secret should have an owner, purpose, scope, issuance source, expiry expectation, and revocation path. It also means service accounts, workload identities, API keys, and certificates should be inventoried alongside human identities where they can create privileged access. The OWASP Non-Human Identity Top 10 is a useful reference point because it highlights how orphaned credentials, weak rotation, and over-privileged machine identities become exploitation paths.
- Centralise issuance and rotation so developers do not create long-lived credentials ad hoc.
- Bind each secret to a specific workload, environment, or automation function.
- Use short-lived credentials where possible, especially in CI/CD and cloud-native workloads.
- Log consumption, not just issuance, so unusual use can be detected.
- Reconcile secrets inventories with IAM, PAM, and cloud configuration records.
From an AppSec perspective, this changes the testing model. Source code review can flag hardcoded secrets, but governance must also cover the secret broker, the CI runner, the deployment platform, and the runtime environment that receives the credential. Controls should verify who can mint secrets, who can bind them to workloads, and who can revoke them when code is retired. This is where secret scanning alone is insufficient: the operational path is what matters, not just the repository state. The guidance aligns with broader control mapping in the NIST Identity and Access Management guidance, especially where identity assurance and lifecycle governance intersect with machine access. These controls tend to break down when organisations allow developer-owned pipelines to create production credentials without central logging or revocation authority.
Common Variations and Edge Cases
Tighter secret governance often increases deployment friction, requiring organisations to balance release speed against reduced credential exposure. That tradeoff is especially visible in platform engineering, where teams want reusable automation and short delivery cycles, but security teams need traceability and rotation discipline.
There is no universal standard for every environment yet, so best practice is evolving. For example, ephemeral workloads may make traditional secret rotation less meaningful than issuing short-lived workload identities from a trusted broker. By contrast, legacy applications may still require stored credentials, which means governance must focus on compartmentalisation, monitoring, and rapid revocation rather than elimination. Likewise, not every non-human identity should be treated identically: a low-risk build token is not the same as a production deployment credential that can alter infrastructure.
Organsations also need to distinguish between secrets discovered in code and secrets discovered in runtime telemetry. A repository scan is a point-in-time finding, while a cloud access log can show whether the secret is actually active. The most mature programmes join both views, then feed them into risk decisions about rotation priority, service ownership, and privilege reduction. In environments with highly automated release pipelines, multi-account cloud estates, or third-party integrations, governance fails fastest when the inventory is incomplete and no team is accountable for credential retirement.
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, NIST Zero Trust (SP 800-207), NIST AI RMF and NIST AI 600-1 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | Secrets governance depends on clear organisational accountability and asset visibility. |
| OWASP Non-Human Identity Top 10 | NHI guidance maps directly to lifecycle, privilege, and orphaned credential risks. | |
| NIST Zero Trust (SP 800-207) | SP 800-207 | Zero trust limits blast radius when machine credentials are compromised or reused. |
| NIST AI RMF | AI-assisted code and pipeline automation raises governance needs around access and provenance. | |
| NIST AI 600-1 | GenAI tooling can expose secrets through prompts, logs, and integration surfaces. |
Assign ownership and maintain an inventory of machine credentials across build, cloud, and runtime environments.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on August 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
