A non-human secret is a credential used by software, services, or infrastructure instead of a person. Examples include tokens, API keys, certificates, and service credentials. These secrets require lifecycle controls because they often provide persistent, high-trust access to systems and data.
Expanded Definition
A non-human secret is the credential layer that lets a software workload, service account, automation script, container, or agent authenticate without a human user present. In identity security terms, it is one part of the broader non-human identity (NHI) stack, but the secret itself is the bearer instrument that must be created, stored, rotated, scoped, and revoked with care. That distinction matters because a secret is not the identity on its own; it is the proof mechanism attached to that identity. In practice, the same secret may be embedded in CI/CD pipelines, configuration files, runtime environments, secrets managers, or externalised vaults, and each placement changes the risk profile. Guidance across vendors varies on whether certificates, signing keys, and short-lived tokens belong in the same operating model, but operationally they all need lifecycle governance. The OWASP Non-Human Identity Top 10 highlights why unmanaged machine credentials create systemic exposure when they outlive the workload that uses them. The most common misapplication is treating a non-human secret like a human password, which occurs when teams apply manual reset practices instead of automated inventory, rotation, and revocation.
Examples and Use Cases
Implementing non-human secret controls rigorously often introduces deployment friction, requiring organisations to balance automation speed against tighter secret handling and rotation discipline.
- A CI/CD pipeline uses an API key to deploy code into production, with the key stored in a vault and rotated on a fixed schedule.
- A microservice authenticates to a payment API with a client certificate, and the certificate is replaced before expiry to avoid service interruption.
- An agentic AI workflow uses scoped tokens to call internal tools, with each token limited to the minimum privileges needed for the task.
- A cloud workload retrieves database credentials at runtime from a secrets manager rather than baking them into an image or repository.
- A legacy integration depends on a static service account password, which becomes a high-risk exception until it is migrated to a stronger machine credential model.
For teams building machine identity programs, the OWASP Non-Human Identity Top 10 is especially useful because it frames secrets as part of a broader identity lifecycle rather than a standalone configuration item. That framing helps distinguish secrets used for authentication from adjacent artifacts such as encryption keys or deployment metadata, which may be managed differently depending on the platform and risk model.
Why It Matters for Security Teams
Non-human secrets often become the quietest path to broad compromise because they are designed for persistence, automation, and high trust. If a secret is exposed in source control, logs, build artifacts, chat messages, or misconfigured secret stores, an attacker can impersonate trusted infrastructure without triggering the same user-centric controls applied to human accounts. This is why NHI governance increasingly overlaps with PAM, vaulting, short-lived credentials, and workload identity design. Security teams also need to recognise the agentic AI connection: autonomous agents that can call tools or APIs should be treated as non-human actors whose secrets require explicit scope, telemetry, and revocation paths. In practice, poor secret hygiene leads to lateral movement, cloud abuse, and difficult-to-trace access paths that survive account resets. The combination of OWASP Non-Human Identity Top 10 thinking and identity lifecycle discipline helps teams reduce that exposure. Organisations typically encounter the true impact only after a leaked token or certificate is used in production, at which point non-human secret governance becomes operationally unavoidable.
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 OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-53 Rev 5 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-1 | OWASP NHI Top 10 treats secrets as core machine-identity risk surface. |
| NIST CSF 2.0 | PR.AA-01 | CSF highlights identity and access management for services and devices. |
| NIST SP 800-53 Rev 5 | IA-5 | IA-5 covers authenticator management, including non-human credentials. |
| NIST SP 800-63 | Digital identity guidance informs assurance and authenticator strength concepts. | |
| OWASP Agentic AI Top 10 | Agentic AI guidance addresses tool-use credentials for autonomous agents. |
Use equivalent assurance principles to choose strong, lifecycle-managed machine credentials.
