Security teams should treat API secrets as managed non-human identities, not developer convenience items. That means centralised storage, automated rotation, strict ownership, expiry enforcement, and audit trails across code, pipelines, and runtime systems. The goal is to prevent secrets from becoming durable access paths that outlive the workload or integration that created them.
Why This Matters for Security Teams
API secrets are no longer just application configuration; they are durable access paths into cloud control planes, CI/CD systems, SaaS integrations, and production data stores. When a secret is copied into code, chat, build logs, or a deployment variable, it becomes an unmanaged NHI with no native lifecycle. That is why guidance from the OWASP Non-Human Identity Top 10 and the NIST Cybersecurity Framework 2.0 both point toward inventory, access control, and continuous oversight rather than one-time storage fixes.
The practical risk is secret sprawl. In Guide to the Secret Sprawl Challenge, NHIMG shows how teams lose track of where secrets live across pipelines, repos, and runtime systems. A key finding from The 2024 State of Secrets Management Survey is that 88% of security professionals are concerned about secrets sprawl, which makes the operational burden obvious even before a leak occurs. In practice, many security teams discover the problem only after a leaked credential has already been used to pivot through a trusted integration.
How It Works in Practice
Effective governance treats each secret as an identity artifact with an owner, scope, expiry, and revocation path. Start by centralising issuance in a dedicated secrets platform, then tie every secret to a workload, service account, or integration record. The goal is to replace static, human-handled distribution with policy-driven delivery at runtime. That means CI jobs, containers, serverless functions, and agents should fetch secrets just in time, use them briefly, and discard them automatically.
Practitioners usually need four controls working together:
- Inventory and classification so teams know which secrets exist and where they are used.
- Short TTLs and automated rotation so exposed values do not remain valid for months.
- Strong ownership so every secret has a business or platform custodian.
- Revocation and audit trails so compromise can be contained quickly and proven later.
This is where the risk shown in Reviewdog GitHub Action supply chain attack and CI/CD pipeline exploitation case study becomes operationally relevant: build systems often hold secrets with broader reach than developers realise. The 2024 Akeyless survey report also notes that only 44% of organisations use a dedicated secrets management system, which helps explain why manual handling still dominates. Security teams should also use OWASP Non-Human Identity Top 10 to validate control coverage, especially around exposed credentials, overprivileged tokens, and weak lifecycle governance. These controls tend to break down when secrets are embedded in long-lived legacy pipelines because revocation can interrupt fragile release processes.
Common Variations and Edge Cases
Tighter secret governance often increases delivery friction, so organisations have to balance release speed against blast-radius reduction. That tradeoff is most visible in legacy workloads, third-party integrations, and disaster recovery accounts, where short TTLs may not be technically simple but long-lived credentials are operationally dangerous. Current guidance suggests treating these exceptions as temporary, not as a reason to abandon lifecycle controls.
One common edge case is machine-to-machine traffic that cannot tolerate frequent credential renewal. In those environments, use workload identity, certificate-based trust, or brokered token exchange where possible, and reserve static secrets only for tightly controlled break-glass paths. Another edge case is secrets stored outside code, such as ticketing systems, chat tools, and documentation platforms. NHIMG research has shown that leaks often emerge there rather than in repositories, which is why the attack surface must include collaboration systems as well as source control. See Emerald Whale breach and 230M AWS environment compromise for examples of how exposed credentials can turn into broad cloud access.
Best practice is evolving, but the direction is consistent: secrets should behave like governed identities, not copied values. In mature environments, that means pairing secret storage with identity-bound access, continuous review, and rapid invalidation. Where teams still rely on manual rotation or ad hoc sharing, the controls usually fail first at the boundaries between DevOps tooling, cloud permissions, and incident response workflows.
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 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-03 | Directly addresses secrets lifecycle, rotation, and exposure across non-human identities. |
| NIST CSF 2.0 | PR.AC-4 | Access control for workloads and pipelines is central to secret governance. |
| NIST Zero Trust (SP 800-207) | GV.3 | Zero trust supports continuous verification instead of trusting static credentials. |
Limit secret access to approved workloads and enforce least privilege at every integration point.
Related resources from NHI Mgmt Group
- How should security teams govern non-human identities in cloud environments?
- How should security teams prioritise NHI remediation in cloud environments?
- How should security teams govern API keys used for generative AI access?
- How should security teams govern machine credentials across cloud and CI/CD environments?
