When does token sprawl become a governance problem?

Why This Matters for Security Teams

Token sprawl becomes a governance problem when the organisation loses control of ownership, purpose, scope, expiry, and revocation. At that point, the issue is no longer just credential hygiene. It is an access governance failure that undermines separation of duties, auditability, and blast-radius control across SaaS, CI/CD, and AI workflows. NIST Cybersecurity Framework 2.0 treats access governance as a core discipline, not an optional add-on, because unmanaged credentials create predictable control gaps NIST Cybersecurity Framework 2.0.

NHIMG research shows how quickly this turns systemic: the 2025 State of NHIs and Secrets in Cybersecurity found that 44% of NHI tokens are exposed in the wild, and 91% of former employee tokens remain active after offboarding. Once tokens outlive the people and systems that created them, governance has already failed. The same pattern is visible in the Salesloft OAuth token breach, where token abuse became an enterprise access problem rather than a simple secrets issue.

In practice, many security teams encounter token sprawl only after a leak, an offboarding failure, or an audit request exposes that no one can explain why the token still exists.

How It Works in Practice

The governance threshold is crossed when tokens stop being traceable assets and start behaving like shadow privileges. A healthy model answers four questions in real time: who owns the token, which workload or user it binds to, what it may access, and how it is revoked. If any of those answers rely on tribal knowledge, spreadsheets, or ticket comments, the organisation has already drifted into unmanaged NHI territory.

Current guidance suggests pairing RBAC with explicit lifecycle controls, because static role mappings do not tell you whether a token is still needed. For autonomous or high-change workloads, best practice is moving toward JIT issuance, short TTLs, and workload identity rather than long-lived shared secrets. That means using cryptographic identity for the workload itself, then issuing ephemeral credentials only for the specific action being performed. Where the workflow is agent-driven, authorisation increasingly needs to be intent-based or context-aware, evaluated at request time rather than pre-approved once and forgotten.

Practically, teams should look for these signals:

• Tokens stored in code, tickets, chat, or docs instead of a controlled vault.
• Tokens shared across multiple apps or agents, which destroys traceability.
• Credentials that remain valid after offboarding or workflow decommissioning.
• Revocation paths that depend on manual cleanup rather than automation.

NHIMG’s Guide to the Secret Sprawl Challenge and the Top 10 NHI Issues both show why duplicated secrets and weak lifecycle control create repeat exposure. That matters even more in agentic systems, where one compromised token can be chained into multiple tool calls, API hops, and privilege escalations. These controls tend to break down when tokens are copied into AI tooling, because the same credential can then be embedded, repeated, and reused across unpredictable agent actions.

Common Variations and Edge Cases

Tighter token control often increases operational overhead, so organisations have to balance revocation speed against developer friction and automation maturity.

There is no universal standard for exactly when token sprawl becomes a formal governance incident, but current guidance suggests the tipping point is reached as soon as owners cannot prove scope, expiry, and revocation without manual detective work. In regulated environments, that threshold arrives earlier because auditability matters as much as technical exposure. For AI-heavy workflows, the bar is even higher: autonomous systems can reuse, forward, or chain credentials faster than human operators expect, so short-lived secrets and policy-as-code become more important than static approvals.

Edge cases usually involve service accounts, shared integration tokens, and vendor-managed connectors. These often look harmless until the same secret is reused across environments or persists after a platform migration. The same governance blind spots appear in breach reporting such as the MongoBleed breach, where exposed credentials were not merely leaked but operationally reusable. For identity and lifecycle discipline, NHIMG’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs remains the practical reference point. Best practice is evolving, but the direction is clear: if a token cannot be tied to a named owner, bounded purpose, and enforced expiry, it should be treated as a governance defect, not a convenience.

Related resources from NHI Mgmt Group

• When does a machine identity become a compliance problem?
• When does a service account become a compliance problem?
• When does standing access in GitHub become a governance risk?
• What makes agentic AI an NHI governance issue?