Without centralisation, teams lose visibility into where secrets live, who can access them and whether they have been rotated or revoked. That makes audit, offboarding and incident response slower and less reliable. Fragmented secret storage is one of the clearest signs that lifecycle governance is incomplete.
Why This Matters for Security Teams
Centralised secrets management is not just an administrative preference. It is the control point that determines whether credentials can be found, rotated, revoked and audited as a single system of record. When secrets are scattered across code repositories, CI/CD variables, developer laptops and ad hoc vaults, the organisation loses the ability to prove exposure scope quickly. The result is slower incident response and weaker lifecycle governance, which is exactly the pattern highlighted in Guide to the Secret Sprawl Challenge.
Fragmentation also breaks trust in the control itself. NHIMG research on The State of Secrets in AppSec notes that organisations maintain an average of 6 distinct secrets manager instances, which undermines visibility and consistent policy enforcement. In practice, that means one team may rotate a credential while another still depends on the old value, or an offboarding event may miss a secret stored outside the primary vault. Current guidance suggests that the issue is not merely storage location, but the absence of a unified lifecycle view aligned to NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10.
In practice, many security teams discover secrets sprawl only after a leak, failed offboarding, or incident containment exercise has already exposed how incomplete their inventory really is.
How It Works in Practice
Centralisation means more than placing secrets in a vault. It means creating one authoritative workflow for issuance, storage, access, rotation, revocation and logging. A well-run model treats secrets as lifecycle-managed assets, not static configuration values. That usually requires a central platform, policy-as-code, and integration with identity systems so access is granted only when a workload or person has a current need.
For most environments, the practical pattern is:
- Store secrets in one governed system of record rather than in application code, ticket comments or environment files.
- Enforce role-based approvals for human access, but pair them with workload-specific controls for automation and service accounts.
- Use short-lived credentials where possible so rotation is automatic and blast radius is reduced.
- Log every retrieval, update and revocation event into a central audit trail.
- Standardise offboarding so revoked access actually reaches every dependent system.
This becomes especially important for pipelines and machine identities, where secrets are often injected into build jobs, deployment runners and cloud services. NHIMG’s Ultimate Guide to NHIs — Static vs Dynamic Secrets is useful here because it frames the operational difference between long-lived credentials and dynamic secrets that expire quickly. For implementation detail, the OWASP guidance on Non-Human Identity aligns closely with this model, while the NIST CSF 2.0 helps map it to recoverability and access governance.
NHIMG research also shows why the issue persists: the average estimated time to remediate a leaked secret is 27 days even though many organisations remain confident in their controls, which means detection without central control still leaves a long exposure window. These controls tend to break down when teams use multiple CI/CD systems, unmanaged cloud accounts, or local developer overrides because secret state becomes impossible to reconcile consistently.
Common Variations and Edge Cases
Tighter centralisation often increases operational overhead, requiring organisations to balance stronger control against developer friction and integration cost. That tradeoff is real, especially in hybrid estates where legacy applications cannot easily consume dynamic secrets or where separate business units already run their own vault tooling.
Best practice is evolving, but there is no universal standard for when multiple vaults are acceptable. In some large enterprises, federated management can work if every instance reports into a central policy and audit layer. The risk is that “federated” quietly becomes “fragmented” when local exceptions are allowed to persist without expiry.
Edge cases worth calling out include disaster recovery environments, third-party managed services and merger activity. Those are the places where duplicate credentials, emergency bypasses and temporary storage often become permanent. The safest model is to define explicit exceptions, time-box them, and review them as part of the same governance process used for production secrets. NHIMG’s Top 10 NHI Issues and the Guide to the Secret Sprawl Challenge both reinforce that visibility is the real control objective, not vault count.
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 CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Centralised secrets inventory is core to preventing NHI sprawl and unmanaged credential exposure. |
| NIST CSF 2.0 | PR.AC-1 | Centralisation supports controlled access and consistent revocation across systems. |
| NIST CSF 2.0 | DE.CM-8 | Unified logging improves detection of secret misuse and unknown storage locations. |
Map every secret to an owner, workload and lifecycle state, then eliminate untracked credentials.
