What breaks when access tokens are stored and refreshed manually at scale?

Why This Matters for Security Teams

Manual token storage and refresh is not just an operational nuisance, it is a control failure. Access tokens are meant to be ephemeral, scoped, and revocable, but when humans track them in tickets, spreadsheets, chat threads, or ad hoc scripts, the organisation loses visibility into who has what, where it lives, and whether it still works. That creates avoidable outage risk and turns secret handling into a recurring support burden. Guidance in the OWASP Non-Human Identity Top 10 and NIST control families both point toward lifecycle discipline, because token governance is only effective when storage, rotation, and revocation are enforced systematically rather than manually.

NHIMG research shows why this breaks in the real world: in the 2025 State of NHIs and Secrets in Cybersecurity, Entro Security reported that 44% of NHI tokens are exposed in the wild, including Teams, Jira, Confluence, and code commits, and that 91% of former employee tokens remain active after offboarding. Those are not edge cases, they are signs that manual handling scales poorly once multiple teams, environments, and integrations are involved. In practice, many security teams encounter token misuse only after an expiry, leak, or offboarding event has already caused an outage or access exposure.

How It Works in Practice

The core problem is that manual processes cannot keep pace with the number of tokens, services, and renewal paths in modern systems. A token may need to be refreshed before expiry, replaced after revocation, or reissued when privileges change. If that logic depends on a person noticing a calendar date or reading a runbook, the result is inconsistent timing, missed renewals, and weak secrets hygiene. For machine-to-machine access, current guidance suggests treating tokens as part of a broader NHI lifecycle, not as one-off credentials.

In practice, organisations reduce failure by shifting from human-managed tokens to automated issuance, storage, and renewal workflows. That usually means keeping tokens in a managed secrets store, using short TTLs, and binding refresh to workload identity or policy checks instead of manual intervention. NIST SP 800-53 Rev. 5 reinforces the need for strong identification, access control, and auditability, while NHIMG research such as the Guide to the Secret Sprawl Challenge and Salesloft OAuth token breach shows how token sprawl and token theft become operational incidents when refresh logic is inconsistent.

• Store tokens in a central secrets manager, not in developer memory, chat, or local files.
• Use automated refresh with bounded TTLs and explicit revocation paths.
• Log issuance, refresh, and failure events so expired access is visible before it becomes an outage.
• Require reauthorization when scope, owner, or environment changes.

These controls tend to break down when legacy systems hardcode refresh assumptions into application code because the token lifecycle becomes coupled to release timing instead of runtime state.

Common Variations and Edge Cases

Tighter token control often increases operational overhead, requiring organisations to balance reliability against integration complexity. That tradeoff is especially sharp in environments with many third-party APIs, long-lived batch jobs, or platform teams supporting multiple business units. Best practice is evolving, but there is no universal standard for every refresh pattern yet, especially where vendors support only coarse-grained tokens or weak revocation semantics.

One common edge case is service accounts that must survive redeployments without interrupting production jobs. Another is partner integrations where a human still approves access, but machines handle runtime use. In those cases, manual storage may appear simpler, yet it usually creates hidden dependency chains and delayed failure detection. The safer pattern is to separate approval from usage: humans authorize access, while systems issue and refresh tokens automatically within policy limits.

NHIMG’s JetBrains GitHub plugin token exposure and GitHub Dependabot Breach illustrate a recurring lesson: when tokens leak into developer workflows, manual cleanup rarely keeps pace with how fast they spread. In those environments, token rotation alone is not enough if the organisation cannot prove revocation, trace reuse, and force reauthentication after compromise.

Related resources from NHI Mgmt Group

• What breaks when vendor access reviews are handled manually at scale?
• What breaks when Kubernetes secrets are stored in a vault but access tokens are overprivileged?
• What breaks when key rotation and access control are handled manually at scale?
• What breaks when access and credential policies are managed manually at scale?