Secrets management tools in 2026 expose the real NHI gap

At a glance

What this is: This is an analysis of 2026 secrets management tools, with the key finding that the core problem is still secrets sprawl across modern development and cloud environments.

Why it matters: It matters because IAM, PAM, and NHI programmes fail when credentials spread faster than governance, leaving rotation, access control, and audit trails incomplete.

By the numbers:

• Only 44% of organisations are currently using a dedicated secrets management system.

👉 Read Akeyless's analysis of the top secrets management tools in 2026

Context

Secrets management is the discipline of storing, rotating, injecting, and revoking credentials such as API keys, passwords, tokens, certificates, and encryption keys. In cloud-native environments, those secrets now appear in code, pipelines, containers, and configuration files, which means access control has become a lifecycle problem rather than a storage problem.

For IAM and NHI teams, the governance gap is not whether a vault exists, but whether the organisation can control the full secret lifecycle across DevOps automation, zero-trust access, and multi-cloud operations. The article frames a familiar market category, but the real issue is whether the tool model can keep up with the way secrets are actually created and consumed.

The maturity question is therefore operational: can teams centralise policy without slowing delivery, and can they prove that leaked or stale credentials are revoked before they become a breach path? That is a typical challenge for organisations still treating secrets as infrastructure plumbing rather than governed identity assets.

Key questions

Q: How should security teams implement secrets management across distributed environments?

A: Security teams should centralise governance, maintain a complete inventory of secret stores, and map each secret to its workload consumers before changing rotation or access policy. The goal is to make every secret traceable from creation to revocation, including CI/CD, runtime, and vault locations. Without that inventory, policy changes create blind spots instead of control.

Q: Why do static secrets increase risk in DevOps pipelines?

A: Static secrets remain valid far beyond the task that needed them, which creates a wider window for theft, reuse, and privilege escalation. In fast-moving pipelines, that window often outlasts the visibility teams have into where the secret was copied or cached.

Q: What breaks when secrets rotation is not tied to revocation?

A: Rotation alone can leave old credentials usable if the previous version is not actually invalidated everywhere it was propagated. That creates a false sense of control, because the organisation believes the secret changed while attackers may still hold a valid copy.

Q: Who is accountable when a leaked secret is used to access systems?

A: Accountability usually sits with the team that owns the credential lifecycle, not just the developer who introduced it. Security, platform, and IAM teams should define who can revoke the secret, who receives alerts, and who must prove remediation. Frameworks such as NIST Cybersecurity Framework 2.0 help structure those responsibilities.

Technical breakdown

Why secrets sprawl persists across CI/CD and cloud workflows

Secrets sprawl happens when credentials are duplicated across repositories, build systems, runtime environments, and manual handoffs. The technical failure is not just storage in the wrong place, but the absence of a single control point for creation, rotation, and revocation. In modern delivery pipelines, each additional integration expands the number of places a secret can persist, making inventory and expiry difficult to enforce consistently. The article correctly points to hybrid and multi-cloud complexity, where secrets may be managed differently by each platform and team.

Practical implication: map where secrets are created and consumed before selecting a tool, or you will automate the wrong part of the lifecycle.

How dynamic secrets and just-in-time access change the attack window

Dynamic secrets are short-lived credentials created for a specific request, workload, or session and then expired automatically. That differs from static secrets, which stay valid until someone remembers to rotate them. Just-in-time access reduces standing privilege by narrowing the time a credential can be abused, but it only works when the issuing system can enforce expiry and enforce context-sensitive access policy. For NHI governance, this is the difference between a credential that is merely stored safely and one that is governed as a temporary identity artifact.

Practical implication: favour short-lived credentials for workloads that do not need persistent access, especially where compromise detection is slow.

What zero-knowledge and audit controls actually add

Zero-knowledge design means the provider cannot decrypt the secret outside the customer-controlled boundary, which reduces trust in the hosting layer. Audit logging adds evidence of who accessed what, when, and under which policy. Together, these controls address two separate problems: limiting blast radius and enabling forensic traceability. The article also highlights role-based access control, encryption in transit and at rest, and compliance reporting, but these only matter if they are tied to a real lifecycle process. Otherwise, they become checkboxes rather than governance.

Practical implication: require auditable access paths and customer-controlled key material where the environment holds regulated or high-value secrets.

Threat narrative

Attacker objective: The attacker wants durable access through reusable credentials that outlive the workflow that created them.

1. Entry occurs when hardcoded API keys, passwords, or tokens are placed in code repositories, configuration files, or CI/CD systems that many teams can reach.
2. Escalation follows when those standing secrets are reused across environments and grant broader access than the original workload requires.
3. Impact occurs when leaked secrets enable privilege escalation, compliance failure, or data exfiltration before manual rotation can close the exposure window.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• Google Firebase misconfiguration breach — Firebase misconfigurations exposed 19.8M secrets across developer instances.

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 sprawl is now a governance failure, not a storage problem. The article describes a tooling market, but the real risk is lifecycle drift across code, pipelines, and cloud services. When credentials are distributed faster than they are inventoried, the organisation loses control over who can use them, when they expire, and whether they were ever scoped correctly. That is why secrets management must sit inside IAM and NHI governance, not beside it.

Static credential persistence is the named concept this market still underestimates. Long-lived secrets survive because teams rely on manual rotation, informal handoffs, and partial visibility across systems. The problem is not only exposure, but persistence after exposure. Practitioners should treat every static secret as an assumption that someone will notice, rotate, and revoke it before it is reused.

Zero-trust access is necessary but insufficient without lifecycle enforcement. The article correctly points to dynamic authorisation, audit trails, and just-in-time access, but those controls only work when the organisation can govern issuance, expiry, and revocation as one chain. Access policy without lifecycle control becomes a policy statement, not an enforcement model. The implication is that secrets management must be measured by revocation speed, not by vault presence.

The market is converging on centralised secret orchestration because fragmented vaults do not solve accountability. Multi-cloud support and connector breadth matter, but only because they reduce the number of unmanaged paths where secrets can drift. What practitioners should re-evaluate is not which vault has the longest feature list, but which operating model can actually keep secrets tied to accountable ownership across platforms.

Secrets management is increasingly an NHI control plane for machine identities. API keys, certificates, tokens, and workload credentials now behave like non-human identities in their own right. That means governance must extend beyond secure storage into access review, policy enforcement, and offboarding discipline. Teams that still treat secrets as configuration rather than identity will continue to miss the real blast radius.

From our research:

• 64% of valid secrets leaked in 2022 are still valid and exploitable today, according to The State of Secrets Sprawl 2026.
• 28% of secrets incidents now originate outside code repositories, in Slack, Jira, and Confluence, and are 13% more likely to be categorised as critical than code-based leaks.
• That pattern points directly to the Guide to the Secret Sprawl Challenge, which explains why governance has to extend beyond source control.

What this signals

Static secret persistence will keep undermining programme maturity until teams measure revocation, not just discovery. If a leaked secret can remain usable for long periods, then detection metrics overstate control strength. The more useful indicator is how quickly the organisation can invalidate access across every dependent system.

Secret sprawl is now a cross-tool governance problem. Repositories, ticketing tools, chat systems, and pipeline logs all become identity surfaces when secrets are shared informally. Teams should expect their NHI programme to absorb these channels into policy and monitoring, not treat them as edge cases.

With 88% of security professionals already concerned about secrets sprawl, the operating assumption should be that unmanaged credential exposure is a normal condition, not an exception. That makes lifecycle automation and revocation evidence the controls that separate policy intent from actual containment.

For practitioners

• Inventory every secret class and location Build a complete map of API keys, database credentials, tokens, and certificates across repositories, CI/CD, containers, and cloud services before selecting or tuning controls.
• Replace long-lived secrets with short-lived issuance Prioritise dynamic secrets and just-in-time access for workloads that do not require persistent credentials, and define expiry as a policy requirement rather than an optional setting.
• Tie rotation to revocation evidence Track whether rotation actually invalidates previous credentials, and require proof that leaked or stale secrets are no longer usable across all connected environments.
• Centralise audit and policy enforcement Require immutable access logs, approval traces, and policy decisions to sit alongside secret issuance so compliance teams can verify who accessed what and when.

Key takeaways

• Secrets management fails when teams treat credentials as storage objects instead of governed identities with a full lifecycle.
• The strongest evidence here is operational, not theoretical: leaked secrets often remain exploitable long after discovery, which makes revocation speed the real control.
• Practitioners should measure coverage, expiry, and invalidation across every secret path, because vault presence alone does not reduce blast radius.

Key terms

• 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.
• Dynamic Secret: A secret generated on-demand for a specific task and automatically revoked after use or expiry. Dynamic secrets dramatically reduce the risk of credential exposure compared to static, long-lived secrets and are considered best practice.
• Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
• Secrets Lifecycle: Secrets lifecycle is the management of credentials from issuance through rotation, revocation, and offboarding. It matters because a secret that is technically valid can still be operationally unsafe if its owner, purpose, or downstream access paths are no longer current.

What's in the full article

Akeyless's full article covers the operational detail this post intentionally leaves for the source:

• Feature-by-feature comparisons of the five tools across SaaS delivery, rotation, audit, and developer workflow support.
• Implementation detail on the Universal Secrets Connector and gateway-based deployment model.
• Vendor-specific limitations, including where self-hosting, compliance, or enterprise scale changes the decision.
• The article's comparison table, which is useful when a team is moving from strategy to procurement.

👉 Akeyless's full article covers the tool comparison, deployment differences, and feature trade-offs in more detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle 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.