Token visibility is the ability to inventory, monitor, and explain how credentials are issued and used across machine-driven systems. It includes knowing where tokens live, which identities mint them, what scopes they carry, and whether their use matches expected behaviour across cloud, SaaS, and automation.
Expanded Definition
Token visibility is not just an inventory exercise. It means being able to trace each token to the NHI that minted it, the system that stores or forwards it, the scope it was granted, and the behaviour it enables across cloud, SaaS, CI/CD, and agent workflows. In practice, it sits at the boundary of secrets management, identity governance, and runtime detection, and it is especially important where autonomous software entities request or reuse credentials without direct human oversight. Definitions vary across vendors, but in mature programs the term includes both static discovery and continuous explanation of token lineage, usage context, and revocation status. That makes it a control objective, not a dashboard metric. NIST Cybersecurity Framework 2.0 is useful here because it frames visibility as part of broader asset, access, and monitoring outcomes, even though it does not standardise token visibility as a standalone concept.
The most common misapplication is treating token visibility as a one-time scan of code repositories, which occurs when tokens also live in tickets, chat, build logs, and agent tooling.
Examples and Use Cases
Implementing token visibility rigorously often introduces operational friction, because the same controls that expose hidden credential paths can also surface stale or over-shared access that teams must then clean up.
- A security team correlates a service token found in a build log with its originating workload and confirms whether the scope still matches the application’s current function.
- An engineering group traces a leaked integration token from a Jira ticket back to a SaaS connector, then revokes and reissues it before lateral movement becomes possible. The Salesloft OAuth token breach is a clear reminder that exposed tokens can become direct access paths.
- A platform team inventories tokens used by AI assistants and MCP-connected tools so they can distinguish approved automation from shadow credentials. The Guide to the Secret Sprawl Challenge shows how quickly hidden secrets accumulate across modern delivery pipelines.
- A governance team maps token issuance against least-privilege policy and verifies that the runtime behaviour matches the intent of NIST Cybersecurity Framework 2.0.
These use cases matter most where a token may be valid, but its use is no longer legitimate because the workload changed, the user left, or the credential escaped into another system.
Why It Matters in NHI Security
Token visibility is a prerequisite for reducing blast radius. If an organisation cannot explain where tokens are, who issued them, and whether they are still active, it cannot reliably enforce ZSP, JIT, or RBAC for NHIs. That gap is especially dangerous in environments where tokens are copied into chat, documentation, or automation tools, because the credential exists long after the team forgets where it came from. NHI research from Entro Security shows that 44% of NHI tokens are exposed in the wild, being sent or stored across Teams, Jira tickets, Confluence pages, and code commits, which makes visibility a foundational control rather than a nice-to-have. This is also where policy and practice diverge: a token may be technically valid while still representing an unmanaged trust path. The same problem appears in breach reporting and incident response, including cases such as the Dropbox Sign breach and the JetBrains GitHub plugin token exposure, where credential visibility failures created durable exposure.
Organisations typically encounter token visibility as an urgent need only after a compromise, at which point traceability becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Addresses secret exposure, inventory gaps, and unmanaged NHI credential sprawl. |
| NIST CSF 2.0 | PR.AC-1 | Identity and credential management depends on knowing which tokens exist and how they are used. |
| NIST Zero Trust (SP 800-207) | PA-1 | Zero Trust requires continuous validation of credentials and their access context. |
Inventory tokens continuously, tag ownership, and revoke anything unaccounted for under NHI-02.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on May 30, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
