Because they are the practical routes into critical systems. Attackers often exploit a leaked key, unmanaged certificate, overprivileged token, or orphaned service account long before they touch a human login. Regulators care about these controls because they determine whether sensitive access can be governed, rotated, revoked, and audited in a defensible way.
Why This Matters for Security Teams
Secrets and machine identities are not just implementation details. They are the access layer that makes cloud services, pipelines, APIs, and workloads operational, which is why regulators increasingly treat them as governance evidence, not housekeeping. When a leaked token or orphaned service account can reach production systems, control failures become audit findings, incident-response problems, and potentially reportable breaches. Guidance from the NIST Cybersecurity Framework 2.0 reinforces that identity, access, and monitoring must be demonstrable across the lifecycle.
NHIMG research shows how quickly this becomes real: in The State of Secrets in AppSec, the average estimated time to remediate a leaked secret is 27 days even though 75% of organisations say they are confident in their secrets management. That gap matters because regulators do not assess confidence, they assess whether access is governed, rotated, revoked, and logged in practice. In practice, many security teams encounter regulatory exposure only after a secret has already been reused, duplicated, or left active long past offboarding.
How It Works in Practice
Regulatory programmes usually expect secrets and machine identities to be controlled as part of a full lifecycle, from issuance to retirement. That means inventorying where secrets exist, tying each machine identity to an owner and purpose, enforcing rotation and revocation, and retaining logs that show who or what used the credential and when. The strongest programmes also separate static long-lived credentials from short-lived runtime credentials, because short TTLs reduce the blast radius when a token leaks.
This is where the operational detail matters. A mature control set usually includes:
- Central discovery of secrets in code, CI/CD, vaults, and configuration stores.
- Unique identities per workload instead of shared accounts across applications.
- Automatic rotation for secrets and certificates based on risk and use.
- Revocation paths that disable access immediately when a workload is decommissioned.
- Evidence trails that map each secret or machine identity to an owner, system, and business function.
For implementation guidance, the OWASP Non-Human Identity Top 10 is a useful reference for common failure modes, while NHIMG’s regulatory and audit perspectives show how those failures translate into audit evidence, retention, and accountability concerns. NHIMG also highlights the scale of exposure in The 2025 State of NHIs and Secrets in Cybersecurity, including 44% of NHI tokens exposed in the wild and 91% of former employee tokens still active after offboarding. These controls tend to break down when identities are shared across multiple services because ownership, blast radius, and revocation become ambiguous.
Common Variations and Edge Cases
Tighter secret governance often increases operational overhead, so organisations have to balance compliance evidence against deployment speed and service uptime. That tradeoff is especially visible in legacy estates, where hard-coded secrets, shared service accounts, and long certificate lifetimes are still common. Best practice is evolving, but current guidance suggests reducing standing access first, then layering automated rotation and stronger runtime identity controls.
Edge cases matter. Some environments cannot move to fully ephemeral credentials overnight because third-party integrations, embedded devices, or older applications still require static credentials. In those cases, regulators usually care less about the exact technology choice and more about whether there is compensating control: scoped permissions, monitored use, documented ownership, and a clear retirement plan. The same is true for certificate-based machine identities in hybrid estates, where renewal automation may be partial but expiry management still needs proof.
NHIMG’s Guide to the Secret Sprawl Challenge is a good reminder that fragmented tooling can defeat central policy even when each individual system looks compliant. The practical test is simple: if a regulator asked who owns a given secret, where it is used, when it was last rotated, and how fast it can be revoked, the organisation should be able to answer without manual forensics.
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 AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Addresses secret rotation and lifecycle weaknesses for machine identities. |
| NIST CSF 2.0 | PR.AC-1 | Identity and credential management underpins regulated access control. |
| NIST AI RMF | AI governance depends on accountable access to model and workload identities. |
Inventory NHI secrets, rotate them automatically, and prove revocation on offboarding or compromise.
