Field type is the location category that tells analysts where a secret was found inside an asset, such as request authorization, environment variable, or collection script. It helps security teams map a detection back to the exact part of the workspace that needs cleanup, rotation, or policy correction.
Expanded Definition
Field type is the categorisation used to describe where a secret was discovered inside an asset, not what the secret is. In NHI investigations, that boundary matters because a value found in an environment variable, a request header, source code, or a collection script usually implies a different ownership path, cleanup method, and recurrence risk.
Practitioners often use field type to preserve forensic context after detection has already surfaced a credential, token, API key, or certificate. That context helps separate the secret itself from the surrounding workspace location, which may be the real remediation target. Usage is still evolving across tools, so teams should treat field type as an operational label rather than a universal standard.
The distinction is especially important when the same secret appears in multiple places. A finding in code may point to a different fix than the same secret found in a deployment variable or log line, even though the exposed credential is identical.
Examples and Use Cases
Field type appears in the way responders triage and route a secret finding. It helps them decide whether the issue belongs to application developers, platform engineers, CI/CD owners, or secrets management teams.
- A scanner flags a token in a repository file, and the field type records that it was embedded in source code rather than injected at runtime.
- A detection engine finds an API key in an environment variable, which suggests a different cleanup path than a hardcoded secret in the application bundle.
- An alert shows a credential in request authorization data, which may require review of app instrumentation, proxy handling, or logging hygiene.
- A collection script captures a secret from a workspace artifact, helping analysts trace the exposure back to automation rather than a developer laptop.
The practical tradeoff is speed versus precision: a broad field type label can accelerate triage, but a vague label can hide the exact place where the secret keeps reappearing.
Security Implications
When field type is misclassified, the remediation path can point to the wrong control owner or the wrong asset class. That slows cleanup, allows the same exposure pattern to recur, and makes it harder to measure whether secrets are leaking from code, logs, pipelines, or runtime configuration.
A useful way to read field type is as a signal about failure location. If secrets repeatedly surface in one field type, the problem is often systemic, such as poor developer hygiene, insecure logging, weak pipeline controls, or unsafe configuration defaults. If teams only record the secret and ignore the field type, they lose the evidence needed to distinguish a one-off exposure from a repeatable control failure.
NHIMG research shows that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, which makes location context essential for cleanup and prevention. The field type tells analysts where to intervene first, not just what to rotate.
Domain and Governance Relevance
Field type matters most in NHI and secrets governance because machine credentials rarely fail in the abstract; they fail in a location. A service account key in code, a token in a build artifact, or a certificate in a deployment variable each creates a different control obligation, even though all are secrets.
For NHI teams, the label helps convert detection into ownership. It can support policy decisions about secure coding, secret scanning, CI/CD guardrails, log redaction, and inventory hygiene without collapsing every exposure into a generic incident class. That is especially valuable when remediation requires both rotation and workspace cleanup.
For broader governance, field type also improves reporting quality. It lets security leaders see whether leakage is concentrated in source repositories, automation tooling, or operational environments, which in turn shapes where preventive controls should be strengthened. The OWASP Non-Human Identity Top 10 is a useful companion reference when the field type points to machine-identity exposure.
NHIMG’s Ultimate Guide to NHIs is also helpful because it frames how visibility, rotation, and offboarding depend on knowing where an NHI secret was found.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
CIS Controls v8 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | 6 — Access Control Management | Field type helps route secret cleanup to the correct access owner and location. |
| 16 — Application Software Security | Field type often identifies whether a secret was embedded in code or app artifacts. | |
| 8 — Audit Log Management | Field type can show whether secrets were exposed through logs or request data. | |
| Recommendation — Classify secret locations to revoke exposed access and correct the source control. Scan application assets for embedded secrets and remove them from source and builds. Review logging paths that expose secrets and redact sensitive values at collection points. | ||
| NIST CSF 2.0 | PR.AC-1 — Identity and Access Management | Field type supports identifying where an exposed secret affects authentication scope. |
| DE.CM-8 — Monitoring for Unauthorized Personnel, Connections, Devices, and Software | Field type improves detection context for where secrets were observed in assets. | |
| Recommendation — Map exposed secret locations to the affected identity and tighten access accordingly. Use location context to prioritise alerts and trace repeated secret exposure patterns. | ||
