Standardise governance first. A single policy model for ownership, rotation, access, and audit evidence works even when storage remains distributed across clouds and teams. Centralising storage without standardising governance often just moves the inconsistency into a different tool. Mature programmes treat the control model as the primary asset.
Why This Matters for Security Teams
Secret storage and secret governance solve different problems, and confusing them creates avoidable risk. Centralising vaults can improve inventory and reduce duplication, but it does not by itself define who owns a secret, when it must rotate, or what evidence proves it was accessed appropriately. That is why current guidance suggests treating governance as the control plane and storage as the implementation detail.
The issue is especially visible in secret sprawl, where credentials appear in CI/CD systems, cloud services, and application code with inconsistent lifecycle rules. NHIMG’s Guide to the Secret Sprawl Challenge shows how distributed storage becomes manageable only when teams standardise policy first. The same pattern appears in real incidents such as the Reviewdog GitHub Action supply chain attack, where poor handling of secrets mattered more than where they were stored.
For control design, the relevant question is not “one vault or many” but whether a consistent policy exists for ownership, rotation, access approval, and audit evidence. That is also consistent with the NIST Cybersecurity Framework 2.0 emphasis on governance, and the OWASP Non-Human Identity Top 10 focus on identity lifecycle risk. In practice, many security teams encounter secret sprawl only after a leak, not through intentional design review.
How It Works in Practice
The practical sequence is to standardise governance before you rationalise storage. Start with a single policy model that defines secret classes, business ownership, rotation intervals, approval rules, exception handling, and the evidence required for audit. Then map every storage location, whether a cloud vault, CI system, container platform, or app config service, to that model. This creates consistency without forcing an unrealistic “all secrets in one place” mandate.
That approach is reinforced by NHIMG research on operational drift and by breach analysis such as the Google Firebase misconfiguration breach, where control failure was tied to weak configuration discipline rather than the absence of a single repository. It also aligns with the Top 10 NHI Issues, where lifecycle inconsistency is a recurring theme. A mature programme typically does the following:
- Assigns each secret to a named system owner and a backup owner.
- Uses one rotation standard, even if some platforms rotate natively and others via automation.
- Requires access through approved workflows, not ad hoc vault browsing.
- Logs issuance, use, and revocation events in a way that supports audit and incident response.
- Separates policy decisions from storage mechanics so teams can standardise without replatforming everything at once.
This is also where external standards help. The NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 both support the idea that governance, accountability, and continuous control validation matter more than tool consolidation alone. These controls tend to break down when teams inherit dozens of unmanaged legacy apps because each system encodes secrets differently and no common policy owner exists.
Common Variations and Edge Cases
Tighter centralisation often increases migration cost and operational friction, so organisations have to balance consistency against change risk. That is why the better answer is usually “standardise first, centralise where it makes sense,” not “always centralise everything.” Current guidance suggests allowing distributed storage when legacy systems, regulated environments, or platform constraints make consolidation impractical.
There are also cases where central storage is useful as a second step. For example, highly automated engineering organisations may want a single vault for new workloads while allowing older workloads to remain on local secret stores until they are remediated. The key is that the same governance rules apply everywhere. NHIMG’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs and Ultimate Guide to NHIs — Regulatory and Audit Perspectives are useful references for turning that principle into repeatable lifecycle control and evidence capture.
Another edge case is emergency access. Some teams preserve break-glass secrets outside the main vault for resilience, but that should not become a loophole for weak governance. In those scenarios, best practice is evolving, and the critical requirement is still the same: clear ownership, short-lived access, and post-use review. Organisations that start with storage architecture often end up standardising inconsistency instead of eliminating it.
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 | Secret rotation and lifecycle discipline are central to this governance decision. |
| NIST CSF 2.0 | PR.AC-1 | Access governance must be standardised before storage choices can be rationalised. |
| NIST AI RMF | Governance-first design supports accountability and traceability for autonomous workloads using secrets. |
Define one secret lifecycle policy and enforce rotation, ownership, and audit evidence across all stores.
