Why do non-human identities create gaps in traditional GRC programmes?

Why This Matters for Security Teams

Traditional GRC programmes were built to ask whether a named user should have access, whether that access was reviewed, and whether it was removed at offboarding. Non-human identities break that model because service accounts, API keys, certificates, and vendor tokens do not behave like employees. They are often embedded in code, CI/CD, integrations, and machine-to-machine workflows, so they persist long after the business reason has changed. NHI Mgmt Group research shows that only 5.7% of organisations have full visibility into their service accounts, which makes review and attestation weak by design. That visibility gap is also why the JetBrains GitHub plugin token exposure matters: a leaked token can become a governance failure before anyone notices the control gap.

From a control perspective, this shifts the problem from periodic certification to lifecycle assurance. Frameworks like the NIST Cybersecurity Framework 2.0 emphasise governance, asset visibility, and access management, but organisations often apply those ideas to people first and workloads second. In practice, many security teams encounter NHI drift only after a third-party integration or automation job has already been abused, rather than through intentional review.

How It Works in Practice

Closing the gap requires treating NHI governance as a separate control domain, not a side effect of human IAM. The practical starting point is inventory: identify every service account, secret, token, certificate, workload identity, and external integration, then map each one to an owner, purpose, and expiry. Without that baseline, RBAC reviews miss the real issue, which is not just who can log in but what a machine can do, when, and through which path.

That is why current guidance increasingly favours runtime controls over static entitlements. For autonomous or high-frequency workloads, JIT credentials, short-lived secrets, and intent-based authorisation reduce the chance that a credential remains valid after the task is complete. This aligns with the NIST Cybersecurity Framework 2.0 focus on least privilege and continuous protection, while JetBrains GitHub plugin token exposure illustrates how a single exposed token can outlive the developer workflow that created it.

• Issue credentials per task, not per quarter, and revoke them automatically when the workflow ends.
• Use workload identity where possible so the system proves what it is, not just what secret it knows.
• Bind authorisation to context such as tool, data set, destination, and execution time.
• Continuously check for secrets in code, pipelines, and configuration stores, then rotate on exposure.

For broader governance, pair this with OWASP-NHI guidance, CSA-MAESTRO patterns for machine-to-machine trust, and the NIST Cybersecurity Framework 2.0 governance functions. These controls tend to break down in highly automated environments because ownership is split across platform, app, and security teams, so no single process sees the full credential lifecycle.

Common Variations and Edge Cases

Tighter NHI control often increases operational overhead, requiring organisations to balance security benefit against automation speed and system fragility. That tradeoff becomes obvious in legacy systems, vendor-managed services, and long-running batch jobs, where short TTLs or frequent rotation can interrupt business processes. Best practice is evolving here, and there is no universal standard for every environment, especially where older tooling cannot support workload identity or fine-grained policy evaluation.

Cloud-native teams may adopt OIDC-backed workload identity or SPIFFE/SPIRE-style patterns quickly, while on-premise and third-party integrations may still rely on shared secrets and static API keys. In those cases, the goal is not perfection on day one but measurable reduction in standing privilege, improved offboarding, and faster detection of stale credentials. The governance question is also different for agentic systems, where autonomous behaviour can chain tools and amplify access in ways that static RBAC never anticipated. That is why current guidance from frameworks such as OWASP-AGENTIC and NIST AI risk guidance is moving toward request-time policy decisions and explicit task scoping.

For executives, the practical signal is simple: if an identity can act without a person watching every step, then periodic review alone is not enough. The control design has to assume secrets will leak, integrations will change, and machine accounts will persist unless lifecycle rules are enforced continuously.

Related resources from NHI Mgmt Group

• When should organisations include non-human identities in GRC programmes?
• Why do non-human identities create more audit risk than human accounts?
• Why do non-human identities create audit risk in modern environments?
• Why do non-human identities create compliance risk even when policies exist?