Because secrets are machine credentials. If a token, API key, or certificate is embedded in an application, compromise of the app can become compromise of a downstream identity. That is why IAM and AppSec need shared ownership of secret scope, rotation, and revocation.
Why This Matters for Security Teams
Application secrets are not just implementation details. They are credentials that can authenticate code, services, workloads, and automation, which means their compromise can expose both the application layer and the identity layer beneath it. When a secret is reused, over-scoped, or left untracked, attackers can move from source code or runtime access into downstream systems with legitimate trust. That is why the OWASP Non-Human Identity Top 10 is so useful here: it treats secrets as identity assets that need governance, not just hardening.
The practical risk is organisational, not only technical. AppSec teams may focus on preventing leakage, while IAM teams focus on human access and lifecycle controls. If those functions do not share ownership, secrets can remain active long after the application, pipeline, or integration that issued them has changed. That creates hidden privilege, weak auditability, and a larger blast radius when an incident occurs. In practice, many security teams encounter secret sprawl only after a repository leak, production compromise, or third-party incident has already turned a dormant token into an active identity.
How It Works in Practice
In operational terms, a secret is often a non-human credential with a defined trust relationship. It may authenticate an application to an API, a workload to a database, or a pipeline to cloud infrastructure. If the secret is embedded in code, config files, CI/CD variables, or container images, then the identity becomes portable and hard to observe. The security question is not only whether the secret is exposed, but whether its scope, rotation path, and revocation path are controlled like any other identity.
Good practice usually combines inventory, minimisation, and replacement. Teams should know where secrets exist, what they can access, and who or what depends on them. Short-lived credentials, workload identity federation, and secrets managers reduce the need for static embedded values. Logging and detection should also be designed for secret use, not just secret storage, because compromise often shows up as unusual access patterns rather than obvious exfiltration.
- Classify each secret by workload, environment, owner, and downstream privilege.
- Prefer ephemeral credentials where the platform supports them.
- Bind rotation to deployment and certificate lifecycle events, not manual reminders.
- Revoke old secrets immediately when code paths, services, or vendors change.
- Monitor for secret use outside expected hosts, accounts, regions, or time windows.
The NIST Cybersecurity Framework 2.0 helps structure this work across governance, asset management, and protective controls. For identity-specific handling, current guidance suggests treating non-human credentials as managed identities with clear ownership and lifecycle status. These controls tend to break down when legacy applications require hard-coded credentials because replacement paths are limited or release cycles are too slow.
Common Variations and Edge Cases
Tighter secret governance often increases delivery overhead, requiring organisations to balance reduced blast radius against release complexity and platform constraints. That tradeoff is especially visible in legacy systems, vendor integrations, and environments that do not support workload identity natively. In those cases, best practice is evolving rather than settled: there is no universal standard for every rotation model, but the direction is clear toward shorter-lived credentials and stronger provenance.
Some secrets are more identity-like than others. A database password used by one service is different from a signing certificate, an API token with broad delegation rights, or a cloud access key embedded in an automation pipeline. The more a secret can impersonate a trusted actor, the more it should be managed as a privileged identity. This is where AppSec and IAM must align on scope reduction, emergency revocation, and evidence of active use.
There are also edge cases in ephemeral and agentic environments. Automated agents, build systems, and serverless functions may generate and consume secrets at high speed, which can make manual governance ineffective. In those environments, identity-based federation and policy-bound issuance are usually safer than distributing long-lived static values. For broader control mapping, teams can also use the OWASP Non-Human Identity Top 10 to test whether a secret is really a hidden identity with unmanaged privilege rather than a simple application setting.
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 AI RMF 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-1 | Secrets are non-human credentials and must be governed as identities. |
| NIST CSF 2.0 | PR.AA-01 | Identity and access management applies to non-human credentials too. |
| NIST AI RMF | GOVERN | Secret governance needs explicit accountability across AI and automation workflows. |
| OWASP Agentic AI Top 10 | A2 | Agentic systems often depend on secrets that can be abused for tool access. |
| NIST Zero Trust (SP 800-207) | PA-4 | Zero trust reduces reliance on static trust from embedded application secrets. |
Inventory secrets, assign ownership, and enforce lifecycle controls for every machine credential.
