Enterprise secrets management fails when credentials outlive ownership

At a glance

What this is: This analysis shows that enterprise secrets sprawl is driven by credential copies, inherited stores, and weak retirement processes, not just by the number of secrets in circulation.

Why it matters: It matters because IAM, PAM, and NHI teams have to govern where credentials are used as well as where they are stored, or revocation will lag behind business change.

By the numbers:

• When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes, and as quickly as 9 minutes in some cases.
• 28% of secrets incidents now originate outside code repositories in Slack, Jira, and Confluence, and they are 13% more likely to be categorised as critical than code-based leaks.

👉 Read Akeyless's analysis of enterprise secrets sprawl and lifecycle drift

Context

Enterprise secrets sprawl begins when credentials are copied into more places than the organisation can govern. That problem is not just storage, it is lifecycle control across NHI, deployment workflows, and the systems that inherit access when teams move fast.

Acquisitions, spinoffs, cloud migration, containerisation, and AI integrations all expand the number of places where a credential can exist. If ownership, rotation, and revocation do not move with those changes, the enterprise ends up preserving access that no longer matches business need.

Akeyless frames Constant Contact as a typical example of this pressure, and that is the right lens. Growing enterprises usually do not fail because they have no secrets platform; they fail because their credentials outlive the operational context that created them.

Key questions

Q: What breaks when secrets are copied into multiple tools and workflows?

A: The control boundary breaks down because revocation in one store does not remove access from every downstream copy. Teams then lose the ability to say which credential is authoritative, which consumer still depends on it, and whether retiring it will interrupt production. That is why secret sprawl is a lifecycle problem, not just a storage problem.

Q: Why do acquired applications create secrets management risk?

A: Because they often arrive with their own credential stores, rotation habits, and access assumptions. Without re-certifying ownership and dependencies, the enterprise inherits access that may still work but no longer matches policy or business need. The risk is hidden persistence, not just poor visibility.

Q: How should security teams reduce secrets sprawl without disrupting delivery?

A: Start by classifying secrets by business criticality, lifetime, and exposure path. Replace the highest-risk shared credentials with workload identity or short-lived access first, then connect revocation to ownership and offboarding. The goal is not zero secrets overnight, but fewer reusable secrets and fewer places where they can be copied or forgotten.

Q: Why do AI coding agents complicate secrets management?

A: AI coding agents complicate secrets management because they combine prompting, execution, and environment setup in one workflow. If secrets are copied into prompts, .env files, or repositories, they become easy to duplicate and hard to audit. The problem is not the agent alone, but the speed at which it can spread access material across tools.

Technical breakdown

Why secrets sprawl is a lifecycle problem, not a storage problem

A secrets manager can protect values that remain inside its own boundary, but credentials rarely stay there. They are copied into CI/CD variables, .env files, scripts, logs, support tickets, and older Git commits. Each copy creates a new governance surface with its own permissions, logging, and retirement requirements. The hard part is not finding one secret, but tracing every place it can still authenticate after the original source has changed. Practical implication: treat secret discovery as a lifecycle inventory problem, not a vault-only hygiene exercise.

Practical implication: Inventory credential copies across delivery and support systems before you decide which secrets are actually safe to revoke.

How inherited applications complicate enterprise secrets governance

Acquired applications often arrive with their own credential stores, rotation habits, and implicit access assumptions. Some use cloud-native secrets managers, others rely on scripts, deployment tools, or manual handling. When those practices collide, the enterprise must reconcile multiple authorization models while keeping services online. That creates a governance gap between operational continuity and policy alignment. Practical implication: map inherited applications to their credential owners and consuming systems before imposing a standard control model.

Practical implication: Assign ownership for inherited credentials before unifying tooling or you will preserve unmanaged access paths during transition.

Why workload identity changes the access model for temporary systems

Temporary workloads do not automatically imply temporary access. A test environment or AI integration can be short-lived while the API key it uses remains valid long after the workload is gone. Workload identity and dynamic credentials reduce that mismatch by binding access to a verifiable workload and limiting its lifetime. The important distinction is that expiry alone is not enough if the application keeps cached values or the target never enforces revocation. Practical implication: prefer identity-based access where supported and verify that retirement actually breaks the old credential.

Practical implication: Test revocation against the target service, not just the secrets platform, before you rely on expiration as a control.

Threat narrative

Attacker objective: The objective is to preserve or reuse valid application access after the organisation believes it has moved on from the original credential.

1. Entry begins when a credential is copied into more places than the enterprise can track, such as deployment variables, local files, or older source-control history.
2. Escalation occurs when the same access value is reused across applications or integrations, creating multiple live dependencies that outlast the original business purpose.
3. Impact follows when exposed or inherited credentials continue to authenticate after ownership changes, letting attackers or former consumers retain access that should have been retired.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• 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

Secret sprawl is really identity sprawl. Once a credential is copied into CI/CD, local tooling, support systems, or inherited stores, the enterprise is no longer governing one secret but many access paths. That is why the control problem sits at the intersection of NHI inventory, ownership, and retirement rather than at the vault alone. Practitioners should treat every copy as a separate governance object.

Acquisitions expose the weakness in policy-only secrets governance. The parent company can inherit applications without inheriting a clean credential model, and that mismatch persists unless ownership, rotation, and revocation are reconciled across the absorbed estate. This is where lifecycle governance matters more than centralisation rhetoric. The practitioner conclusion is straightforward: acquired access must be re-certified before it is trusted.

Ephemeral credential trust debt: Short-lived workloads often keep long-lived secrets, and that mismatch accumulates technical debt in the access layer. If a temporary system can still authenticate after decommissioning, the organisation has preserved trust beyond the workload’s lifetime. That pattern is visible in both cloud migration and AI integration work, so teams should stop assuming that short-lived compute automatically produces short-lived access.

AI integrations make secrets governance harder because they multiply invisible consumers. When credentials are placed in agent configuration or supplied to MCP servers, the enterprise creates another access relationship that may not fit existing review cadence or revocation logic. This does not create a new category of identity problem, but it does make unmanaged NHI exposure easier to miss. Practitioners should govern the consumer, not just the secret.

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 those incidents are 13% more likely to be critical than code-based leaks.
• That pattern reinforces the case for a governed lifecycle model, which we examine in Guide to the Secret Sprawl Challenge.

What this signals

Secret sprawl is a programme design issue, not a tooling issue. Once credentials live in deployment systems, support channels, and inherited applications, the control surface extends beyond any single vault. Teams should expect discovery work to expand before it contracts, because visibility usually improves faster than retirement. The practical signal is whether your IAM, PAM, and platform teams share a single ownership model for every live credential.

Ephemeral compute only reduces risk when revocation is tested end to end. A temporary workload that can continue authenticating after decommissioning is evidence of lifecycle drift, not mature access governance. Practitioners should watch for cached secrets, stale CI/CD variables, and access paths that survive environment teardown. That is the moment to apply controls from the OWASP Non-Human Identity Top 10 alongside workload identity patterns.

The strongest forward indicator is whether teams can rotate and retire credentials without needing a special project each time. If revocation still depends on manual coordination, the enterprise has not reduced secrets sprawl, it has only made it easier to see. That is why governance must extend to the consuming application, not stop at the secrets store.

For practitioners

• Build a credential-to-owner inventory Connect each secret to a responsible team, consuming application, and storage location, including copies in CI/CD variables, logs, and older commits. Prioritise production credentials first because the business impact of stale access is highest there.
• Re-certify inherited access before consolidation For acquired or spinoff applications, verify which credentials are still required, who owns them, and which dependencies would fail if they were retired. Do not assume the original access model is valid in the parent enterprise.
• Replace reusable keys with workload identity where possible Use identity-based access for supported workloads so temporary environments do not depend on persistent API keys. Then test that revocation at the target service actually breaks the old access path.
• Automate rotation and application refresh together Rotate persistent secrets at the target and verify that applications retrieve the replacement value instead of caching the old one. If refresh behaviour is untested, revocation during an incident will be too risky to use.

Key takeaways

• Secrets sprawl is a lifecycle failure because copied credentials outlive the systems and teams that created them.
• The evidence points to persistent exposure, hidden copies, and incomplete revocation as the real enterprise risk, not simple secret volume.
• Practitioners should focus on ownership, identity-based access, and tested retirement paths before they rely on centralised vaulting alone.

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.
• Workload Identity: The identity assigned to a software workload — such as a containerised application, serverless function, or microservice — enabling it to authenticate to other services without storing static credentials.
• Credential Lifecycle: Credential lifecycle is the process of issuing, rotating, expiring, and revoking secrets, certificates, and tokens across their usable life. For non-human identities, lifecycle discipline is the core control that separates temporary access from persistent exposure.
• Inherited Access: Inherited access is permission a tool receives from a connected user, service account, or integration rather than from a purpose-built identity. It often hides privilege expansion because the tool appears lightweight while actually operating under broad, durable entitlements.

What's in the full article

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

• Step-by-step secrets governance patterns for acquisitions, spinoffs, and mixed legacy estates
• Operational guidance for using Multi Vault Governance across supported external stores
• Implementation detail on automated rotation and application refresh for persistent credentials
• Practical examples of Jenkins job retrieval patterns and where build pipelines still leak secrets

👉 The full Akeyless post covers Constant Contact, Vercel, and the operational steps for reducing unmanaged credential copies.

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.