A container tag identifies an artifact but does not prove how it was produced. Build provenance and attestations provide verifiable metadata about source revision, build workflow, builder identity and artifact digest. They help teams detect untrusted release paths.
Plan the workflow
Record immutable artifact digests rather than relying on mutable tags. Generate signed provenance in a trusted CI workflow and include repository, commit and builder information. Do not embed secrets in provenance statements or publish credentials used during the build.
Configure the controls
At deployment, verify the signature, trusted issuer, expected repository, workflow identity and artifact digest. A valid signature from an untrusted workflow is not enough. Restrict production deployment to protected branches, reviewed workflows and approved environments.
Validate failure cases
Combine provenance with an SBOM and vulnerability policy. An SBOM describes included components; provenance describes how the artifact was built. Scan dependencies, record exceptions with owners and expiry dates, and promote the same digest between staging and production.
Production checklist
Protect workflow files and runner images, pin third-party actions to immutable revisions, separate build and deployment permissions, and use short-lived identity. Related: SBOM and Cosign verification.
undefined
Architecture and prerequisites
Choose a provenance format and verification policy that match the build platform. The important properties are a verifiable signature, a trusted issuer, an authenticated builder identity and a statement tied to the immutable artifact digest. A provenance file that is stored beside an image but never verified is only documentation. Define which repositories, branches and workflows are permitted to produce production artifacts, and reject attestations that do not meet the policy.
Configuration and implementation
Protect the workflow that creates the attestation. Review reusable workflows, third-party actions and runner images because a compromised build step can produce a signed statement for an untrusted artifact. Pin dependencies to immutable revisions where possible, restrict workflow permissions and separate build identity from deployment identity. Use short-lived workload identity rather than static cloud keys. Changes to workflow definitions should receive the same scrutiny as application code.
Security and compatibility
Bind the attestation to the exact artifact digest. Tags can be moved or overwritten, so deployment policy should verify the digest that the cluster or runtime will actually pull. Promote the same artifact between development, staging and production rather than rebuilding independently in each environment. This reduces the chance that the tested artifact differs from the deployed one and makes incident investigation more reliable.
Testing and validation
Combine provenance with an SBOM and vulnerability scanning. The SBOM describes components included in the artifact; provenance describes the source and process that produced it. Neither alone proves the artifact is safe. Define how vulnerabilities are triaged, how exceptions are approved and when exceptions expire. Store scan results with the release record so teams can reconstruct what was known at deployment time.
Monitoring and troubleshooting
Test verification failures deliberately. Try an unsigned image, an image signed by an untrusted identity, a valid attestation from the wrong repository and a statement whose digest does not match the artifact. Confirm that deployment is blocked and the error is understandable. Also test key rotation and revocation so old trusted credentials do not remain accepted indefinitely. Do not make production policy fail open because a verification service is temporarily unavailable.
Production operations
Keep release evidence searchable. Record repository, commit, workflow run, builder identity, artifact digest, SBOM reference, signature result and deployment environment. Avoid embedding secrets or unnecessary personal data in the attestation. During an incident, responders should be able to trace a running workload back to its source revision and build workflow quickly. This evidence supports both security investigations and routine change management.
Operational readiness and lifecycle
Before rollout, define an owner for the configuration, supported versions, dependencies and escalation path. Put configuration under version control and require review for production changes. Verify the implementation with a representative workload and record a baseline so future changes can be compared. Test a failure scenario, a restart and a rollback rather than relying only on a successful happy-path test. Monitoring should expose both the component’s internal health and the user-visible outcome, with alert thresholds that have a documented response. Keep a concise runbook containing diagnostic commands, expected signals, safe retry guidance and recovery steps. Review the design after the first production cycle and whenever an upstream dependency changes. Remove temporary exceptions, rotate credentials where applicable and update compatibility notes. This ongoing ownership is what turns a working configuration into a maintainable production service.
Scenario-based verification
For artifact attestations, verify that the exact digest running in production has a valid statement from the approved repository and workflow identity. Test rejected signatures, mismatched digests, revoked identities and unavailable verification services. Store verification output with the deployment record so incident responders can trace a running image to its build.
Performance and capacity validation
Define a measurable service-level baseline before enabling the change. Record normal and peak throughput, error rate, latency distribution, resource consumption and recovery time. A single successful test does not show how the system behaves under concurrency or after a dependency becomes unavailable. Run load tests that resemble real request patterns and include burst traffic, slow clients and large payloads. Compare results with the baseline and investigate regressions rather than accepting them because the deployment completed. Keep test data representative but non-sensitive, and repeat the test after significant runtime or dependency upgrades.
Logging and alert design
Operational logs should make failures diagnosable without exposing credentials or customer data. Include a correlation identifier, component version, action outcome and safe resource reference. Avoid logging bearer tokens, private keys, full database records or unrestricted request bodies. Define retention and access permissions for diagnostic data. Alert on repeated failures, queue growth, resource saturation and missed scheduled work, but ensure every alert has an owner and an action. Review alert noise after rollout and remove rules that do not lead to useful investigation.
Recovery documentation
Document the recovery path as carefully as the setup path. Include prerequisites, permissions, exact verification commands, expected outputs, rollback steps and conditions that require escalation. Test the procedure with someone who did not build the original system; this exposes assumptions that are obvious only to the author. Keep the runbook next to the configuration or source repository and update it when versions or workflows change. Schedule a periodic review so temporary exceptions, obsolete settings and unsupported dependencies do not become permanent parts of production.
Apply these checks to CI/CD Artifact Attestations: Prove What Was Built and Deployed: retain the test evidence, identify the owner who accepts the production risk and define the conditions that trigger rollback. Re-run the checks after major upgrades or changes in traffic patterns.
