How should security teams reduce risk from shared secrets in identity systems?

Why This Matters for Security Teams

Shared secrets are a scaling problem as much as a security problem. Once a password, API key, or token is copied into multiple services, CI/CD jobs, scripts, and service accounts, it becomes hard to know where trust actually exists. That is exactly why secret sprawl turns a single compromise into broad access, and why NHI governance has to treat custody and reuse as first-class risks. NHI Mgmt Group research shows that 96% of organisations store secrets outside secrets managers in vulnerable places such as code, config files, and CI/CD tools, while 79% have experienced secrets leaks, with 77% causing tangible damage, as covered in the Ultimate Guide to NHIs and the Guide to the Secret Sprawl Challenge. The practical issue is not only exposure, but the delay in invalidation after exposure. Current guidance from NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 is to reduce standing trust, shorten secret lifetime, and make access revocable at the point of use. In practice, many security teams encounter the true blast radius only after a pipeline, repo, or shared vault has already been abused.

How It Works in Practice

Start by inventorying every shared secret and tracing where it is used, not just where it is stored. The highest-value step is to collapse reuse: one secret per workload, one purpose per credential, and one owner for each secret lifecycle. Replace long-lived shared credentials with workload identity where possible, then issue short-lived secrets only when a task needs them. That usually means JIT credential provisioning, automated revocation on completion, and policy checks at request time instead of relying on static group membership alone. A practical sequence looks like this:

• Discover secrets in code, CI/CD, chat, ticketing, and config stores, then classify by shared-use risk.
• Move service-to-service authentication toward workload identity and token-based proof of possession.
• Use PAM and RBAC to constrain who can mint, rotate, or approve secrets, not to justify persistent reuse.
• Set short TTLs, enforce rotation, and revoke on deployment, offboarding, or anomalous use.
• Monitor for copies in pipelines and developer tooling, where leaked credentials often persist longest.

This approach aligns with the breach patterns described in the 52 NHI Breaches Analysis and the broader remediation guidance in the Ultimate Guide to NHIs. It also reflects NIST’s emphasis on reducing credential exposure and verifying access continuously rather than assuming trust after issuance. These controls tend to break down in legacy systems that cannot support short-lived tokens, mutual TLS, or centralized revocation because the application itself was designed around a single reusable secret.

Common Variations and Edge Cases

Tighter secret control often increases operational overhead, requiring organisations to balance faster delivery against more frequent rotation, approval, and integration work. That tradeoff is real, especially where batch jobs, mainframe connectors, or third-party SaaS integrations still depend on static credentials. Current guidance suggests prioritising the most blast-prone paths first, then moving outward from high-value service accounts and pipeline credentials. There is no universal standard for every migration pattern yet, so teams should avoid pretending that every secret can be eliminated on day one. In practice, edge cases usually fall into three buckets. First, vendor-managed integrations may only support shared API keys, which means compensating controls matter more: tight scope, aggressive rotation, secret scanning, and immediate revocation procedures. Second, high-availability systems may need overlapping credentials during rotation, so the real goal is reducing the overlap window, not forcing hard cutovers. Third, environments with poor asset visibility can hide shared secrets in places that scanners miss, especially in chat exports, build logs, and ephemeral runners; that is why CI/CD pipeline exploitation case study material is so relevant to day-to-day defence. For organisations maturing their controls, the key is to measure whether fewer copies, shorter TTLs, and faster revocation are actually reducing exposure, not merely shifting the problem into another tool.

Related resources from NHI Mgmt Group

• How should teams reduce the risk from exposed NHI secrets?
• How should security teams reduce risk from secrets in CI environments?
• How should security teams reduce privileged access risk when identity tools are fragmented?
• How should security teams reduce risk from AI agents and developer tools that use secrets locally?