Why do unstructured secrets practices create more risk as engineering organisations scale?

Why This Matters for Security Teams

Unstructured secrets become more dangerous as engineering organisations scale because the attack surface expands faster than the controls around it. Teams add repositories, CI/CD pipelines, internal tools, cloud accounts, and service integrations, but secrets are often copied into tickets, wikis, shell history, and config files without a consistent owner or lifecycle. That creates visibility gaps that make it hard to answer basic questions: where a secret exists, who can use it, and when it should be revoked.

This is not just an operational hygiene issue. It is a governance problem that directly affects incident response, access reviews, and blast-radius reduction. The Guide to the Secret Sprawl Challenge describes the recurring pattern well: once secrets are scattered across teams and environments, remediation slows and ownership becomes ambiguous. In the 2024 State of Secrets Management Survey, 88% of security professionals said they are concerned about secrets sprawl, which reflects how common this failure mode has become.

Security teams often underestimate the compounding effect: every additional system that stores or handles a secret creates another place where rotation, revocation, logging, and access control can drift out of sync. In practice, many security teams encounter leaked credentials only after misuse has already occurred, rather than through intentional discovery.

How It Works in Practice

At small scale, unstructured secrets practices can appear manageable because a few engineers know where critical values live and can rotate them manually when needed. At enterprise scale, that breaks down. The real issue is not just the number of secrets, but the number of uncontrolled copies, ad hoc access paths, and undocumented dependencies. A secret placed in a repository secret store, copied into a build job, and reused in a support script may function correctly for months while quietly bypassing policy and audit expectations.

Current best practice is to treat secrets as governed assets with explicit ownership, scope, and expiry. That means centralising discovery where possible, eliminating hard-coded values, and issuing short-lived credentials for workloads that can support them. The operational goal is to reduce static exposure and make revocation deterministic. This aligns with guidance in the OWASP Non-Human Identity Top 10, which emphasises the risks created when machine identities and their secrets are not lifecycle-managed, and with the The 2025 State of NHIs and Secrets in Cybersecurity, which reports that 62% of secrets are duplicated across multiple locations.

• Inventory secrets across code, CI/CD, cloud, endpoint, and collaboration systems.
• Assign ownership to a team or service, not an individual engineer.
• Prefer short TTLs and automated rotation over long-lived static credentials.
• Use policy checks to block new secrets from being introduced outside approved paths.
• Instrument detection so exposed secrets can be revoked quickly, not just reported.

Frameworks such as NIST Cybersecurity Framework 2.0 and the control families in NIST SP 800-53 Rev 5 Security and Privacy Controls both support this approach by requiring disciplined asset management, access control, and continuous monitoring. These controls tend to break down when teams rely on manual secret rotation across hundreds of services because the dependency map is incomplete and revocation is not reliably propagated.

Common Variations and Edge Cases

Tighter secrets control often increases delivery overhead, requiring organisations to balance developer convenience against auditability and blast-radius reduction. That tradeoff is especially visible in fast-moving platform teams, legacy applications, and hybrid environments where not every service can adopt ephemeral credentials immediately.

There is no universal standard for how quickly every secret must rotate, because risk depends on exposure path, privilege level, and business criticality. Current guidance suggests prioritising the secrets that unlock production systems, third-party integrations, and CI/CD automation first. Lower-risk internal secrets may justify a slower migration, but they should still be brought under ownership and monitoring. The 52 NHI Breaches Analysis shows how often poor lifecycle control and overexposed machine credentials turn a minor leak into broader compromise.

Edge cases also matter. Shared service accounts, vendor-managed integrations, and emergency break-glass access often resist clean secret governance because multiple teams depend on them at once. In those environments, the practical answer is usually stronger scoping, separate vaulting, and tighter monitoring rather than pretending static secrets can be eliminated overnight. Unstructured practices are most dangerous where secrets are reused across environments, because a single leak can span dev, staging, and production with no reliable way to contain it.

Related resources from NHI Mgmt Group

• When does secrets rotation actually reduce NHI risk?
• How can organisations reduce the risk of stale API keys and machine tokens?
• What is secrets sprawl and why does it create security risk?
• Why do secrets create disproportionate risk in NHI environments?