Vault Coverage Is the Missing Metric in NHI Programs
Blog post from GitGuardian
Enterprise vault programs combine secrets-management tools, policies, operating processes, and shared responsibilities to manage machine credentials, but fragmented ownership among IAM, security, platform, and application teams often leaves organizations unable to measure credentials stored outside approved vaults. Standard vault metrics such as secret counts and request volume indicate platform activity rather than policy adoption, while credentials may remain in code repositories, CI/CD variables, cloud services, and configuration files because vault integration can add developer friction. The proposed vault coverage metric measures unique credentials reconciled to a managed vault as a share of all credentials discovered across connected systems, providing the denominator missing from vault-native reporting. GitGuardian positions its platform as a way to discover, deduplicate, fingerprint, and compare credentials across engineering environments and connected vaults without storing the secret values themselves, distinguishing between contained vaulted secrets, vaulted secrets with exposed copies, and secrets never onboarded to a vault. This visibility can support remediation, compliance assessments such as PCI DSS requirements on hardcoded credentials, and more specific executive reporting on coverage targets, ownership gaps, and unmanaged exposure.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Secrets Management | 57 | 2,244 | 480 | 132 | -13% |
| AI Agents | 1 | 5,780 | 1,243 | 245 | -15% |
| Kubernetes | 1 | 3,490 | 385 | 112 | +26% |
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