TL;DR: Akeyless’ guide says secrets management still breaks down when credentials, tokens, certificates, and API keys are scattered across pipelines and vaults, making rotation, auditing, and revocation incomplete rather than continuous. Lifecycle control, not storage alone, is the real governance gap in machine identity security.
At a glance
What this is: NHI Mgmt Group's analysis, drawing on Akeyless's blog post: Secrets management fails most often at lifecycle control and visibility, not at the point of storage.
Why it matters: IAM, PAM, and NHI teams need to treat secrets as governed identities because fragmentation, weak rotation, and poor auditability expand exposure across automated systems.
👉 Read Akeyless' guide to secrets management lifecycle control and visibility
Context
Secrets management is the governance of sensitive digital credentials such as tokens, passwords, certificates, API keys, and encryption keys. In this article, Akeyless argues that the real problem is not only where secrets are stored, but whether their lifecycle is controlled well enough for modern cloud, DevOps, and machine identity environments.
That distinction matters because machine identities now outnumber human users in most estates and secrets are embedded in pipelines, code, containers, and serverless workflows. When storage is centralised but ownership, rotation, revocation, and audit trails are not, the control plane looks stronger than the operational reality.
The article also frames secrets management as a compliance and resilience issue, not just a confidentiality issue. That is broadly typical for current enterprise environments, where sprawl and fragmented tooling make lifecycle governance the weak point rather than initial vault placement.
Key questions
Q: What breaks when API secrets are managed centrally but not governed through their full lifecycle?
A: Central storage without lifecycle governance leaves shared, long-lived credentials alive after scope changes, ownership changes, or compromise. The result is a false sense of control: teams can see the secret, but they cannot prove who uses it, where it propagates, or how quickly it can be revoked everywhere it matters.
Q: Why do standing cloud privileges create so much operational and compliance risk?
A: Standing cloud privileges increase the chance of accidental changes, lateral movement, and overexposure of sensitive data. They also make audit evidence harder to sustain because access expands faster than teams can review it. In regulated environments, persistent excess permissions can undermine SOC 2 and ISO 27001 readiness and weaken confidence in access governance.
Q: What are the signs that a secrets management programme is failing?
A: Common warning signs include inconsistent secret formats, missing scans in configuration files or side repositories, frequent false positives, and teams relying on manual checks instead of automation. Another red flag is when secrets remain exposed long enough to be reused. If scanning does not cover the full development ecosystem, control gaps usually persist.
Q: How can teams reduce the blast radius of a leaked repository secret?
A: They should scope credentials to one environment, one service, and the shortest practical lifetime, then rotate them automatically. They also need branch protection, commit signing, and secret scanning so the same exposure pattern is less likely to recur. Blast-radius reduction only works when secret lifecycle and source control governance are managed together.
Technical breakdown
Why vault centralisation does not solve secret sprawl
A vault is a controlled storage layer, but secret sprawl is an operational problem across repositories, CI/CD systems, application configs, and cloud services. Central storage does not automatically create ownership, rotation discipline, or revocation paths. If secrets are copied into multiple workflows, the vault becomes one repository among many rather than the authoritative source of truth. The architectural failure is fragmentation: multiple stores, multiple access paths, and inconsistent logging. In practice, the security outcome depends on whether every secret instance is discoverable and governed across its full lifecycle, not whether it was once placed in a protected location.
Practical implication: treat vaulting as a control boundary only when discovery, rotation, and revocation are enforced everywhere the secret can be reused.
How lifecycle automation changes machine identity risk
Secrets are not static records. They are credentials that authenticate workloads, services, APIs, and automation tools, which means their risk changes over time as environments change. Lifecycle automation matters because long-lived secrets accumulate exposure window, especially when rotation is event-based, manual, or inconsistent across environments. Short-lived or dynamically issued secrets reduce the value of leakage, but only when the issuing and revocation logic is aligned with workload behaviour. For machine identities, the core governance question is whether access can be reduced, replaced, or invalidated without waiting for a human to notice a problem.
Practical implication: design lifecycle automation so secret validity is tied to workload need, not to manual review cycles.
Why auditing matters more when secrets move through DevOps pipelines
DevOps pipelines amplify secrets risk because they move credentials through build systems, deployment scripts, containers, and orchestration layers at machine speed. That creates a visibility problem as much as an access problem. Without consistent logging, role-based controls, and environment segmentation, teams cannot prove where a secret was used or whether it was ever removed from downstream systems. Auditing is therefore not just a compliance feature. It is the mechanism that makes secret ownership and revocation verifiable when the same credential can traverse multiple automated systems.
Practical implication: instrument pipeline, runtime, and vault access logs together so secret use can be traced end to end.
Threat narrative
Attacker objective: The attacker objective is to turn leaked or unmanaged secrets into durable access to systems, data, and automation paths.
- entry via exposed or copied secrets in repositories, configs, or pipelines creates an access path into machine-facing systems.
- credential access persists when the secret is long-lived, duplicated, or not revoked across every location where it was distributed.
- escalation occurs when that secret grants access to additional services, data stores, or deployment workflows beyond the original target.
- impact follows through unauthorised access, data exposure, outages, or wider environment compromise because the secret remained usable beyond its intended scope.
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 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
Lifecycle control is the real failure mode in secrets management. Storage can be centralised while governance still fails if issuance, rotation, revocation, and offboarding are not enforced across every place a secret can appear. That is why organisations keep discovering that visibility gaps, not vault placement, are what leave credentials usable after they should have been retired. The practitioner conclusion is simple: a secrets programme is only as strong as its weakest lifecycle step.
Secret sprawl is now an identity problem, not just a storage problem. A secret becomes part of the identity plane the moment it is used by a workload, pipeline, or API. Once it is duplicated into scripts, repos, and deployment systems, the organisation no longer governs one credential but many uncontrolled instances of the same access path. The implication is that machine identity governance must assume replication, not containment.
Auditability is the missing bridge between compliance language and operational control. The article correctly ties secrets management to GDPR, HIPAA, and SOC 2 type requirements because logs and access trails are what prove governance, not policy statements. But audit trails only matter if they cover the full path from creation to retirement. The practitioner conclusion is that evidence of use must be as governable as the secret itself.
Long-lived secrets create avoidable blast radius. When a credential can survive across deployments, environments, and ownership changes, the exposure window outlasts the business need that justified it. That is the central weakness in manual handling and fragmented tooling. Practitioners should treat lifespan, not just secrecy, as the main control variable.
Ephemeral credential trust debt: The article points to a broader category problem: organisations keep accumulating trust in credentials that were never designed for indefinite reuse. Every extra day a machine secret remains valid increases the cost of discovery, containment, and proof of removal. The field should now treat trust decay as a measurable governance issue, not a theoretical one.
From our research library:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to the State of Secrets in AppSec.
- Organisations maintain an average of 6 distinct secrets manager instances, creating fragmentation that undermines centralised control, according to the State of Secrets in AppSec.
- Read next: Guide to the Secret Sprawl Challenge
What this signals
Secret sprawl is the programme-level symptom, not the root cause. When the same credential can sit in code, pipelines, and multiple vault instances, the real issue is governability. Teams should measure whether each secret has a single owner, a single lifecycle record, and a single revocation path before assuming centralisation has worked.
Lifecycle governance now defines secrets maturity. Rotation, offboarding, and auditability are no longer supporting controls around a vault. They are the controls that determine whether a secrets programme can actually reduce exposure in cloud and DevOps environments.
For practitioners
- Map every secret to an owning system and lifecycle state Create an inventory that ties each secret to a service, environment, owner, issuance date, and revocation path so unmanaged credentials can be retired instead of rediscovered after exposure.
- Automate rotation for secrets that outlive their original task Replace manual renewal with policy-driven rotation and revocation so long-lived API keys, tokens, and certificates do not remain valid across application changes and personnel changes.
- Segment secrets by environment and deployment scope Use separate credentials for development, test, and production, and prevent reuse across pipelines or clusters so a single leak cannot move laterally into higher-value systems.
- Instrument access trails across vaults and pipelines Correlate vault events, pipeline logs, and runtime access records so the team can prove where each secret was used and whether revocation actually reached every downstream copy.
Key takeaways
- Secrets management fails most often when credentials are distributed faster than they are governed, not when they are first stored.
- The article’s own numbers point to a control gap, with fragmented tooling and delayed remediation showing that visibility and rotation remain weak.
- The practical fix is lifecycle-centred governance that treats discovery, ownership, rotation, and revocation as one control problem.
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 NIST SP 800-53 Rev 5 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 centres on exposed and duplicated secrets across pipelines and vaults. |
| NHI-07 — Long-Lived Secrets | The guide emphasises rotation failure and secrets that remain valid too long. | |
| NHI-01 — Improper Offboarding | The lifecycle gap includes incomplete revocation when ownership or environments change. | |
| Recommendation — Scan for leaked secrets and revoke any credential exposed outside its governed lifecycle. Shorten secret lifetimes and enforce rotation before credentials become reusable liabilities. Remove access paths when secrets or workloads are retired so old credentials cannot persist. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is about controlling who and what can use credentials across environments. |
| Recommendation — Apply entitlement governance to every secret so access remains limited to intended workloads. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Rotation and revocation of credentials are central to the article’s control gap. |
| Recommendation — Enforce authenticator lifecycle management for machine credentials, including rotation and revocation. | ||
| MITRE ATT&CK | TA0006; TA0008 — Credential Access; Lateral Movement | The article’s risk narrative follows compromise of secrets into broader environment access. |
| Recommendation — Map leaked secrets to credential access and lateral movement paths in detection and response. | ||
Key terms
- Secrets Management: The discipline of securely storing, distributing, rotating, and auditing secrets across an organisation's systems and pipelines, typically implemented via a centralised secrets vault such as HashiCorp Vault, AWS Secrets Manager, or Akeyless.
- Secrets Sprawl: The uncontrolled proliferation of sensitive credentials, API keys, tokens, passwords, certificates, across codebases, cloud environments, CI/CD pipelines, and configuration files. In 2024, over 50 million leaked secrets were found on the dark web.
- Lifecycle Governance: Lifecycle governance is the set of controls that cover creation, assignment, review, rotation, and retirement of identities and credentials. For NHIs, it is the difference between a temporary automation asset and a persistent access risk. Strong lifecycle governance keeps ownership and expiry tied to actual business use.
- Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
What's in the full article
Akeyless' full guide covers the operational detail this post intentionally leaves for the source:
- Step-by-step explanations of secrets management concepts and where each credential type fits in the lifecycle
- Side-by-side comparison of leading secrets management tools, including Akeyless, HashiCorp Vault, Azure Key Vault, Google Secret Manager, and AWS Secrets Manager
- Detailed best practices for automating rotation, injecting secrets into CI/CD pipelines, and segregating credentials across environments
- Examples of how the guide frames compliance, audit trails, and governance for SOC 2, GDPR, and HIPAA contexts
Deepen your knowledge
NHI governance, agentic AI identity, and machine 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 24, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org