How should security teams handle credential sprawl across humans, NHIs, and AI workflows?

Treat credential sprawl as a lifecycle and visibility problem, not just a storage problem. Security teams should inventory every credential-bearing system, assign ownership, and define how secrets are provisioned, used, monitored, rotated, and removed across human users, service accounts, and AI-assisted workflows. The goal is to eliminate unowned secrets and prove control over each access path.

Why This Matters for Security Teams

credential sprawl becomes a control failure when secrets outgrow the teams that issued them. Humans, service accounts, CI/CD jobs, bots, and AI workflows often inherit access through different tools and owners, which creates blind spots where no one can answer who uses a credential, why it exists, or when it should die. The result is not just excess inventory, but unmanaged access paths.

That risk is visible in NHIMG research: the Guide to the Secret Sprawl Challenge highlights how insecure sharing and weak lifecycle controls persist, while the OWASP Non-Human Identity Top 10 treats overprivileged, long-lived secrets as a recurring attack path. In practice, many security teams discover the full extent of sprawl only after an exposed token, a leaked pipeline variable, or an AI workflow starts using credentials no one can trace.

How It Works in Practice

Effective remediation starts with inventory, but inventory alone is not enough. Teams need to classify every credential-bearing entity by owner, workload, environment, and expiry model, then map how the secret is provisioned, where it is stored, which systems can read it, and what triggers revocation. For NHIs, best practice is evolving toward dynamic secrets, short TTLs, and workload identity instead of static shared secrets. For AI workflows, that same discipline must extend to model-driven jobs, tool connectors, and agent execution paths.

A practical operating model usually includes:

• One owner per credential, with explicit business justification and a retirement date.
• Ephemeral or JIT issuance for workload access, especially in CI/CD and agentic workflows.
• Central policy checks at request time, not only periodic reviews.
• Continuous detection of orphaned secrets, duplicate keys, and unused entitlements.
• Rotation and revocation tied to events such as code merge, pipeline completion, or role change.

The NHIMG 2024 Non-Human Identity Security Report found that 59.8% of organisations see value in dynamic ephemeral credentials, which aligns with the operational reality that static credentials are easier to copy than to govern. NIST’s Digital Identity Guidelines reinforce the need for strong lifecycle assurance, while workload-specific guidance from the Ultimate Guide to NHIs is especially useful when teams are separating human access from machine access. These controls tend to break down when legacy apps, shared admin passwords, and unattended automation still require human intervention to renew access.

Common Variations and Edge Cases

Tighter credential control often increases operational overhead, requiring organisations to balance faster automation against the cost of redesigning brittle workflows. That tradeoff is most visible when older platforms cannot support short-lived credentials, when a vendor integration still depends on long-lived API keys, or when an AI agent needs delegated access across several tools in one task.

There is no universal standard for every sprawl scenario yet, so guidance should be applied by risk tier. Current guidance suggests treating human, NHI, and AI access as different lifecycle classes rather than one shared secrets process. For high-risk workflows, use distinct identities, scoped tokens, and runtime policy enforcement. For lower-risk internal jobs, simplify controls but still require an owner, expiration, and audit trail. NHIMG’s Top 10 NHI Issues is a useful reference when prioritising where cleanup efforts will reduce exposure fastest. The hardest cases are multi-cloud estates and agentic pipelines, where a single workflow can chain credentials across platforms before any periodic review catches it.

Related resources from NHI Mgmt Group

• How should security teams handle leaked secrets across developer workflows?
• How should security teams handle long-lived GitHub tokens in AI workflows?
• How should security teams handle AI-driven phishing in identity workflows?
• How should security teams handle trust assumptions in LLM and AI agent workflows?