TL;DR: Secrets management still breaks down at discovery, classification, monitoring, and revocation, with leaked credentials remaining a major operational burden according to Entro Security. The real issue is not whether secrets exist, but whether organisations can govern them as living non-human identities across their full lifecycle.
At a glance
What this is: This is a secrets management analysis that says the hard failures are discovery, classification, monitoring, and revocation, not vaulting alone.
Why it matters: It matters because IAM and NHI teams need to treat secrets as governed identities with inventory, lifecycle, and monitoring, or risk leaving credentials exploitable far beyond their intended use window.
Context
Secrets management is the control layer that tracks, protects, and retires credentials, tokens, certificates, and API keys used by systems and services. When that layer only stores secrets but does not discover, classify, monitor, and revoke them reliably, the programme looks complete while the real attack surface remains unmanaged.
For NHI governance, the issue is not whether secrets exist. It is whether each secret is known, scoped, enriched with context, and removed when its purpose ends. That is why this topic sits at the intersection of secrets management, workload identity, and lifecycle governance.
Key questions
Q: What breaks when secrets are reused across developers, agents, and pipelines?
A: When secrets are reused, the same credential can authenticate multiple actors and workflows, which destroys accountability and widens blast radius after exposure. A single compromise then affects more systems than intended, and the organisation loses the ability to prove which identity actually acted at a given point in time.
Q: Why do leaked secrets remain risky even when a vault exists?
A: A vault only helps if the secret can be identified, classified, monitored, and invalidated quickly. If the organisation cannot connect leakage to ownership and revocation, the credential stays active long enough to be reused. That is why exposure management and lifecycle control have to operate together.
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 does over-permissioned secret access become a lateral movement risk?
A: It becomes a lateral movement risk when one credential can reach more systems or data than the originating workload needs. At that point, compromise of a single secret can create a wider blast radius than the business process justifies. Least privilege has to apply to the secret’s actual use path, not just its storage.
Technical breakdown
Secrets discovery and inventory as the baseline control
A secrets programme cannot govern what it cannot see. Discovery and inventory are the baseline because secrets often spread across vaults, pipelines, source code, collaboration tools, and application environments. In practice, inventory means more than listing values. It means knowing where each credential exists, what system uses it, and who or what can invoke it. Without that map, rotation and revocation become partial exercises, and assurance claims collapse under audit or incident pressure.
Practical implication: build continuous discovery so hidden API keys, passwords, certificates, and tokens do not sit outside governance.
Classification and lifecycle management turn secrets into governed identities
Classification adds the metadata that makes secrets governable. A secret is not just a string; it has scope, sensitivity, usage context, and ownership. Lifecycle management then governs creation, storage, rotation, and revocation across those states. This is where secrets management becomes NHI governance: a secret that persists after its purpose has ended behaves like an unmanaged non-human identity. If classification is weak, access controls stay generic and lifecycle actions remain detached from actual risk.
Practical implication: tie each secret to ownership, usage context, and expiry so governance decisions follow the secret through its life.
Monitoring and revocation are the controls that limit exposure after leakage
Monitoring detects abnormal use patterns, while revocation removes the credential that those patterns can exploit. That distinction matters because leaked secrets can remain useful long after discovery if they are not invalidated quickly. The article’s emphasis on anomalies, public and dark web leakage, and over-permissioned vault access reflects a simple control reality: exposure is not the same as compromise, but both demand fast containment. Secrets governance fails when detection exists without enforced invalidation.
Practical implication: pair anomaly detection with automated revocation paths so leaked secrets do not remain active after discovery.
Threat narrative
Attacker objective: The objective is to use a valid but unmanaged secret to obtain lasting access to systems, services, or sensitive data.
- Entry occurs when a secret is exposed through code, collaboration tools, vault misconfiguration, or other inventory gaps that leave it discoverable outside the control plane.
- Credential access follows when the exposed secret is reused, copied, or harvested from a location the organisation did not track or secure effectively.
- Escalation happens when an over-permissioned secret grants more access than the original workflow required, widening the blast radius of abuse.
- Impact is the continued use of a live credential after leakage, misclassification, or delayed revocation allows access to persist beyond its intended purpose.
Breaches seen in the wild
- Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Secrets governance fails when teams treat storage as the finish line: A vault does not solve discovery, classification, or lifecycle control by itself. The hard part is maintaining a complete view of every secret across pipelines, apps, and collaboration channels, then binding each one to ownership and expiry. Without that, the programme protects a subset of the estate while the rest remains operationally invisible.
Secret sprawl is really identity sprawl in disguise: Each credential, token, and certificate acts like a non-human identity with its own scope and lifecycle. That makes the control problem closer to NHI governance than to simple key storage. Ephemeral secret trust debt: the longer a credential remains valid after its intended use, the more governance debt the organisation accumulates. Practitioners should treat duration and scope as first-class governance attributes.
Revocation speed is the real proof of control maturity: Detection matters only if the organisation can turn a finding into invalidation before the credential is reused. That is why delayed response turns every leak into an exposure window, not just an incident. The practitioner test is simple: can the team invalidate a secret quickly across all locations where it might still be accepted?
Over-permissioned secrets create hidden lateral movement paths: When a service credential can read more than it needs, the blast radius extends well beyond the originating workload. That is a governance failure, not merely a misconfiguration. Teams should assume that any secret with excess privilege will eventually be treated as a pivot point by an attacker or by an over-broad integration.
The right control model is lifecycle-first, not vault-first: Discovery, enrichment, monitoring, and revocation need to be governed as a continuous chain. This aligns most closely with OWASP-NHI, NIST CSF, and access-permission control thinking, because the question is not where the secret sits but whether its authority is continuously justified. Practitioners should measure the estate by governed lifecycle coverage, not by vault count.
From our research library:
- 88% of security professionals are concerned about secrets sprawl, with 49% of those in larger organisations described as "very concerned", according to the 2024 State of Secrets Management Survey.
- Read next: Guide to the Secret Sprawl Challenge
What this signals
Secret governance is now a lifecycle problem, not a vault problem: Organisations should expect hidden credentials to persist across code, pipelines, and collaboration systems unless discovery is continuous. The governance shift is from storing secrets securely to proving that every secret has an owner, a scope, and a retirement path.
Secrets sprawl creates identity debt: Every unmanaged credential extends the period in which a workload can act with valid authority. That means the programme is not just protecting a secret store, it is managing a population of non-human identities whose permissions age, drift, and eventually outlive their intended use.
The 2024 State of Secrets Management Survey found that 88% of security professionals are concerned about secrets sprawl, with 49% of those in larger organisations described as "very concerned" according to the 2024 State of Secrets Management Survey. Concern alone is not control; practitioners need governance evidence that secret inventories, ownership, and revocation are actually enforced.
For practitioners
- Establish continuous secrets discovery Scan code, pipelines, vaults, and collaboration tools so every API key, token, password, and certificate is accounted for in one inventory.
- Attach ownership and context to each secret Enrich every secret with system owner, usage scope, rotation cadence, and expiry so classification supports lifecycle decisions rather than static storage.
- Automate revocation on exposure signals Define invalidation triggers for leaked or anomalous secrets so detection can remove access before reuse, not after manual review.
- Reduce privilege on vault-connected identities Review service accounts and integrations that can read vault contents, then remove any access path that is broader than the application workflow requires.
- Measure governance coverage, not vault count Track what percentage of secrets have named owners, enforced rotation, monitoring, and revocation paths instead of counting repositories or vault instances.
Key takeaways
- Secrets management fails most often when organisations can store credentials but cannot reliably discover, classify, and retire them.
- The article’s core warning is that unmanaged secrets behave like non-human identities with hidden authority and delayed shutdown.
- The strongest control signal is not vault count but the speed and completeness of revocation when a secret is exposed.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 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-02 — Secret Leakage | The article focuses on exposed secrets and incomplete discovery across the estate. |
| NHI-05 — Overprivileged NHI | It highlights secrets and vault-connected identities with access broader than their workflow requires. | |
| NHI-07 — Long-Lived Secrets | The article stresses rotation and revocation as the controls that limit secret exposure over time. | |
| Recommendation — Scan for secret leakage across code, pipelines, vaults, and collaboration tools, then revoke exposed credentials immediately. Reduce secret-backed access to the minimum scope needed for the workload or service to function. Shorten secret lifetime and enforce rotation and invalidation on exposure signals. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Rotation, revocation, and lifecycle control are core authenticator-management concerns. |
| Recommendation — Apply authenticator management controls to rotate and invalidate secrets on a defined schedule and upon compromise. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is about governing who and what can use secrets and vault-backed access. |
| Recommendation — Review entitlements for secrets-backed identities and remove access that exceeds business need. | ||
Key terms
- Secrets Inventory: A secrets inventory is the structured record of where credentials exist, who owns them, and whether they are still valid. It is foundational to remediation because detection alone does not reduce risk unless teams can trace exposure, assign ownership, and revoke access quickly.
- Secret Classification: Secret classification is the practice of assigning context to a credential based on sensitivity, environment, owner, and business purpose. It helps security teams decide how tightly to protect, monitor, and retire each secret instead of applying one uniform policy to all access.
- Secret Lifecycle Management: Secret lifecycle management is the practice of creating, rotating, expiring, revoking, and retiring credentials according to policy. It turns secret handling from a one-time setup task into an ongoing governance process, which is essential when credentials are distributed across cloud, CI/CD, and automation environments.
- Overprivileged Secret: An overprivileged secret is a credential, token, or certificate that grants broader access than the workload needs. The risk is not just excess reach at issuance, but long-lived lateral movement potential if the secret is reused or compromised before it is reduced or removed.
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Published by the NHIMG editorial team on June 23, 2026.
Updated on October 6, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org