Workload identity vs secrets: When to use each

Workload identity and secrets management address complementary credential-security needs rather than serving as interchangeable solutions: workload identity uses runtime attributes and federation standards such as OIDC or SPIFFE to issue short-lived, tightly scoped tokens for cloud-native workloads, Kubernetes pods, and CI/CD pipelines, avoiding stored cloud credentials. Secrets managers remain necessary for static or non-federated credentials, including third-party API keys, legacy and on-premises database passwords, webhook tokens, and cross-boundary integrations, providing centralized storage, rotation, audit logs, and granular access controls. The recommended approach is to first apply workload identity where host platforms and target services support federated trust, then manage unavoidable credentials through a secrets manager; workload identity can also authenticate workloads to the manager itself, limiting which secrets they can retrieve. The article notes that this division is particularly important for AI agents, which require individually scoped identities and auditable, time-bound access, and presents Doppler as a product supporting OIDC-based access to centrally managed secrets.

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