Architectural Invariant Design: Cryptographic Sigstore SLSA v1.0 Provenance and Immutability Gate
Cryptographic Sigstore SLSA v1.0 Provenance and Immutability Gate defines an industrial-grade behavioral standard for security engineering. Enforces mandatory SLSA v1.0 in-toto provenance verification using Sigstore Fulcio certificate identities and Rekor transparency log proofs before admitting container workloads into production environments. Rejects images deployed by mutable tag, lacking cryptographically verified subject digests, or missing non-forgeable CI/CD OIDC claims. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Deploying Mutable Container Tags with Unverified Build Provenance and Unvalidated OIDC Signer Identities | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS reference container images by immutable cryptographic digests (image@sha256
Engineers MUST ALWAYS reference container images by immutable cryptographic digests (image@sha256:...) and NEVER by mutable tags alone.
Engineers MUST verify the in-toto attestation envelope using Sigstore bundle verification, confirming Rekor inclusion proof and Fulcio root-of-trust.
Engineers MUST verify the in-toto attestation envelope using Sigstore bundle verification, confirming Rekor inclusion proof and Fulcio root-of-trust.
Services MUST validate that the Fulcio certificate SAN extension matches the expected OIDC repository identity and trusted workflow ref (e.g., https
Services MUST validate that the Fulcio certificate SAN extension matches the expected OIDC repository identity and trusted workflow ref (e.g., https://github.com/org/repo/.github/workflows/release.yml@refs/heads/main).
Services MUST inspect the predicateType 'https
Services MUST inspect the predicateType 'https://slsa.dev/provenance/v1' and ensure the external parameters match the immutable source commit digest.
Components NEVER admit workloads if signature verification fails, transparency log entry is missing, or bundle verification encounters a network/timeout failure (fail-closed).
Components NEVER admit workloads if signature verification fails, transparency log entry is missing, or bundle verification encounters a network/timeout failure (fail-closed).
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Cryptographic Sigstore SLSA v1.0 Provenance and Immutability Gate critical for AI coding assistants?
Enforces mandatory SLSA v1.0 in-toto provenance verification using Sigstore Fulcio certificate identities and Rekor transparency log proofs before admitting container workloads into production environments. Rejects images deployed by mutable tag, lacking cryptographically verified subject digests, or missing non-forgeable CI/CD OIDC claims. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Deploying Mutable Container Tags with Unverified Build Provenance and Unvalidated OIDC Signer Identities) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.