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Machine Identity

# Secrets Management

Secrets management is the discipline (and tooling) for securely storing, distributing, rotating, and auditing access to sensitive values — API keys, database passwords, TLS keys, OAuth client secrets — used by humans and workloads.

Last reviewed 3 months ago

Key points

-   Eliminates secrets in source control, env files, CI configs, and Slack messages.
-   Core capabilities: encrypted storage, fine-grained access policies, audit logs, dynamic secrets, rotation, leasing.
-   Tools: HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, Doppler, Infisical, 1Password Secrets Automation, CyberArk Conjur.
-   Dynamic secrets (Vault DB secrets engine, etc.) issue short-lived credentials per use — better than rotating long-lived ones.
-   Adjacent to NHI governance and workload identity — secrets management is the storage layer; NHI tools are the inventory & policy layer.

## What is secrets management?

**Secrets management** is the discipline of giving applications, services, and people the credentials they need — _without_ spreading those credentials across env files, repos, CI configs, and chat tools.

A secrets manager is a hardened store (often backed by an HSM or KMS) that:

-   Stores secrets encrypted at rest.
-   Enforces fine-grained access policies (which workload / human can read which secret).
-   Logs every read for audit and forensics.
-   Rotates secrets on a schedule or on demand.
-   (Best-of-breed) issues **dynamic, short-lived secrets** on demand — e.g. Vault's database secrets engine generates a per-session DB user that expires automatically.

## Why it matters

-   Credential leaks remain a top initial-access vector — GitHub secret-scanning catches thousands of exposed secrets daily.
-   Compliance (SOC 2 CC6.1, PCI 8, ISO 27001 A.9) requires controlled storage and rotation.
-   Static long-lived secrets are incompatible with Zero Trust.

## Common shapes of solution

| Tool | Strength | | --- | --- | | HashiCorp Vault | Multi-cloud, dynamic secrets, PKI engine, transit encryption | | AWS Secrets Manager / GCP / Azure | Cloud-native, deep IAM integration, easiest if you're single-cloud | | Doppler / Infisical / 1Password | Developer-friendly UX, app config + secrets | | CyberArk Conjur | Enterprise, often paired with their PAM |

## Secrets management vs PAM vs NHI

-   **PAM** governs human privileged sessions and vaulted human credentials.
-   **Secrets management** governs application credentials.
-   **NHI tools** govern the _inventory and lifecycle_ of non-human identities, often plugging into both.

## Common mistakes

-   **Storing secrets in Git** — even private repos. Use pre-commit hooks (gitleaks, trufflehog) plus push protection.
-   **One vault token per app, never rotated** — defeats the purpose.
-   **No audit / no alerting** — secrets reads should be observable.
-   **Secrets in CI logs** — mask them; treat CI as untrusted.

## Editorial note

If you're starting from scratch and on a single cloud, the native secrets manager is usually the right first call. Vault wins when you're multi-cloud, need dynamic secrets, or need PKI / transit encryption alongside.

IDSync provides educational buyer guidance based on publicly available information, editorial review, and user-submitted data. Vendor information should be verified before purchase. [Who we are, our methodology & disclosure policy](/about).

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### Vendor categories

[secrets management](/directory/category/secrets-management)[non human identity](/directory/category/non-human-identity)

### Related terms

[workload identity](/glossary/workload-identity)[non human identity](/glossary/non-human-identity)[pam](/glossary/pam)

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