TL;DR: Akeyless says fragmented Vault, AWS Secrets Manager, and Azure Key Vault estates make simple access questions take days because audit logs, RBAC, and policy enforcement stay siloed across clusters and backends. The governance gap is structural, not just operational, when secrets outgrow a single control plane.
At a glance
What this is: This is an analysis of why fragmented secret estates create governance blind spots, with Vault clusters, cloud secrets managers, and audit logs spread across separate control planes.
Why it matters: It matters because IAM, PAM, and NHI teams need provable answers about who accessed which secret, and fragmented governance makes that answer slow, incomplete, or impossible.
👉 Read Akeyless's analysis of vault governance gaps across fragmented secret estates
Context
A secrets governance gap appears when the control questions span more than one backend, but the policy and audit data do not. In this article, the primary issue is fragmented secret estate governance across Vault clusters and cloud secrets managers, not a single product feature.
That fragmentation matters because secrets are often embedded in CI/CD pipelines, Kubernetes workloads, and application runtimes. Once access control and logging are split across independent systems, governance becomes a manual correlation exercise instead of a reliable control plane.
Key questions
A: The main failure is answerability. RBAC, audit logs, and policy enforcement become backend-specific, so no one can quickly prove who accessed which secret across the estate. That leads to manual correlation, inconsistent evidence, and gaps whenever a cluster is not logging or a cloud manager uses a different control model.
Q: Why does a fragmented compliance process create risk for governance and audit quality?
A: A fragmented process creates risk because evidence ends up scattered across spreadsheets, inboxes, and disconnected tasks, which slows review and weakens oversight. When teams cannot see control status in one place, they are more likely to miss overdue items, repeat work, and lose confidence in the integrity of the audit trail.
Q: How do identity teams know whether secrets governance is actually working?
A: Identity teams know secrets governance is working when they can prove that every active secret has an owner, an approved scope, and a tested revocation path. If they cannot quickly identify where a secret is used or remove it without breaking the workload, governance is still incomplete.
Q: When should organisations centralise control instead of trying to migrate every secret store?
A: When the estate is too distributed to replace in one move, centralising control first is often the practical option. A governance overlay can unify access policy and audit evidence while leaving secrets in place. That approach is especially useful when operational dependencies make a full migration unrealistic in the near term.
Technical breakdown
Why fragmented secret estates break governance
Fragmentation breaks governance because RBAC, audit logging, and policy enforcement are implemented per cluster or per backend rather than as a single authoritative plane. In this model, one Vault namespace may be tightly controlled while another uses different roles, different log shipping, and different policy cadence. That creates drift, inconsistent evidence, and weak assurance over access decisions. The problem becomes worse when cloud-native secret managers and on-prem Vault deployments coexist, because each service produces its own access records and operational assumptions. Practical implication: treat dispersed secret stores as one governance domain, not as separate operational islands.
Practical implication: model the estate as a single governance problem before you try to answer access questions or certify controls.
How control-plane overlays change access and audit behavior
A governance overlay does not have to move secrets to centralise control. It can sit above existing backends, authenticate the request once, apply policy at the overlay layer, and then delegate retrieval to the underlying store. That matters when migration is unrealistic or when multiple backends must remain in place for the foreseeable future. The key distinction is that the overlay becomes the place where authorisation, audit, and rotation policy are consistently enforced, while the storage layer remains distributed. Practical implication: separate secret residency from governance residency in your architecture decisions.
Practical implication: centralise decision-making even when storage must stay distributed.
Why per-cluster audit logs are not enough
Per-cluster audit logs are operational records, not governance evidence, when the question spans an enterprise estate. A single answer such as who accessed a production database password in the last 90 days requires complete, normalised, and correlated logs across all clusters and backends. If some clusters are not shipping logs, or if formats differ, the answer becomes probabilistic rather than authoritative. This is where a secrets programme starts behaving like a data reconciliation project. Practical implication: design for enterprise-wide evidence collection, not local log availability.
Practical implication: validate that your audit trail can answer cross-system access questions before you depend on it for compliance.
Breaches seen in the wild
- Hugging Face Spaces breach 2024: Unauthorised access to Hugging Face Spaces may have exposed secrets users stored for AI apps; tokens were revoked and org tokens removed.
- MongoBleed breach: MongoBleed exposed secrets across 87K MongoDB servers.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Secret estate fragmentation is a governance problem before it is a platform problem: the article shows that access control, audit evidence, and rotation policy lose meaning when they are split across many clusters and cloud backends. A team can have strong controls inside each store and still fail to answer a simple enterprise access question with confidence. The practitioner conclusion is that secret governance must be assessed at the estate level, not the product level.
Vault sprawl creates governance drift by design: when each cluster carries its own roles, logs, and operational assumptions, the control model diverges over time. That is not a minor administration issue, it is a structural property of fragmented deployment. The implication is that policy consistency becomes harder to prove than policy intent, which changes how audit and recertification should be approached.
Unified auditability becomes the real control objective: the article makes clear that the business question is not only where the secret sits, but whether access can be traced across every backend without manual stitching. That is the point where secrets management intersects with identity governance and assurance. Practitioners should treat enterprise-wide traceability as a first-class requirement, not a reporting convenience.
Migration is not the only governance path: the article argues that some secret estates will remain distributed for the foreseeable future, so governance overlays matter when full consolidation is not realistic. That reframes the market from replacement-only thinking to control-plane thinking. The practitioner conclusion is to evaluate whether your current model can govern the estate you actually run, not the one you wish you had.
Cross-cloud secret governance should be measured by answerability, not inventory size: a large estate is not automatically a weak one, but an estate that cannot produce a reliable access answer is already failing governance. The named concept here is answerability latency: the time and effort required to prove who accessed what. Practitioners should treat that delay as a control signal, not an inconvenience.
From our research library:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to the Ultimate Guide to NHIs.
- Only 44% of organisations are currently using a dedicated secrets management system, according to the 2024 State of Secrets Management Survey.
- Read next: Secrets Management Buyer's Guide
What this signals
Answerability latency: the real control failure is not secret storage alone, but how long it takes to prove who accessed a credential across multiple systems. When logs, RBAC, and policy live in separate places, governance evidence degrades into manual reconciliation.
Fragmented secret estates should be treated as one identity governance surface, because the operational question is cross-backend accountability. If access decisions cannot be correlated end to end, the programme is already behind the control it is meant to provide.
For practitioners
- Map the full secret estate Inventory every Vault cluster, cloud secrets manager, and application-facing secret path so you can see where governance is fragmented across backends.
- Standardise audit evidence collection Route access events from each backend into a single SIEM or evidence store and verify that missing log sources are treated as a control failure, not a reporting gap.
- Overlay enterprise RBAC on local controls Apply one governance layer across clusters and secret managers so access decisions are consistent even when the underlying stores remain distributed.
- Measure answerability for access questions Test whether a question such as who accessed a production database password in the last 90 days can be answered quickly and without manual spreadsheet stitching.
- Separate migration decisions from governance decisions Treat replacement of a secret store as a separate project from centralising control, because some backends may need long-term governance rather than immediate migration.
Key takeaways
- Fragmented Vault and cloud secret estates create a governance gap when access decisions and evidence are split across backends.
- The problem shows up as delayed, incomplete answers to routine access questions, especially when audit logs are missing or inconsistent.
- Practitioners should measure whether the estate can produce authoritative cross-system access evidence before they assume governance is under control.
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 MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | Fragmented secret estates make privilege scope diverge across clusters and backends. |
| NHI-01 — Improper Offboarding | Isolated secret stores make revocation and offboarding harder to verify across the estate. | |
| Recommendation — Consolidate privilege review around estate-wide access scope rather than per-cluster assumptions. Verify revocation coverage across every backend when a secret owner, workload, or team changes. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article centres on whether access permissions can be enforced consistently across systems. |
| Recommendation — Centralise entitlement governance so access decisions remain consistent across distributed secret stores. | ||
| CIS Controls v8 | CIS-5 — Account Management | The problem is lifecycle control over privileged secret access across many systems. |
| Recommendation — Audit and reconcile secret-related accounts and access paths across every backend. | ||
| MITRE ATT&CK | TA0006 — Credential Access | The underlying risk is exposure and traceability of credentials stored in fragmented secret estates. |
| Recommendation — Hunt for credential-access paths that bypass central logging and policy enforcement. | ||
Key terms
- Secret Estate: The complete set of places where an organisation stores and serves credentials, keys, tokens, and certificates. In practice this often spans Vault clusters, cloud secret managers, CI/CD systems, and application runtimes, so governance has to cover every location where a secret can be created, accessed, or logged.
- Governance Overlay: A control layer that sits above existing secret backends and applies unified access policy, logging, and administrative control without moving the underlying secrets. It is useful when migration is impractical and the organisation needs consistent governance across multiple stores and deployment models.
- Answerability: The ability to produce a complete and trusted answer to an access question, such as who accessed a specific secret during a specific period. When answerability is low, the organisation may still have logs and policies, but it cannot reliably reconstruct or defend the access history.
- Policy Drift Detection: Policy drift detection is the process of identifying when an access policy no longer matches the intended rule or the current business context. It helps teams catch unauthorized changes, stale permissions, and exceptions that have quietly become the new normal, so governance stays aligned with actual identity and app usage.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step governance flow for Multi-Vault Governance across Vault, AWS Secrets Manager, and Azure Key Vault
- HashiCorp Vault Proxy behaviour, including how existing CLI workflows keep working without code changes
- A live-demo walkthrough of unified RBAC, rotation, and audit logging across multiple backends
- Licensing and deployment detail for MVG, HVP, and gateway placement in real environments
Deepen your knowledge
NHI governance, secrets management, and workload identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 23, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org