Architectural Invariant Design: Sigstore Cosign Keyless Attestation and SLSA Level 3 Admission Invariant
Sigstore Cosign Keyless Attestation and SLSA Level 3 Admission Invariant defines an industrial-grade behavioral standard for security engineering. Enforces admission-time cryptographic verification of short-lived OIDC identities, Rekor transparency log entries, and SLSA Level 3 build provenance for all containerized workloads. Blocks execution of untrusted, unverified, or tampered artifacts by validating that image digests match immutable cryptographic signatures anchored in the Fulcio root of trust prior to Kubernetes workload scheduling. 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 | Admitting unverified container images, relying on static long-lived signing keys, or deploying without verifying SLSA Level 3 provenance predicates against Fulcio OIDC 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 enforce image digest pinning (sha256
Engineers MUST ALWAYS enforce image digest pinning (sha256:...) across all Pod specs and reject mutable container image tags at admission.
Engineers MUST NOT use static, long-lived asymmetric private keys stored in CI secrets
Engineers MUST NOT use static, long-lived asymmetric private keys stored in CI secrets; keyless workflows with Fulcio-issued ephemeral certificates MUST be used.
Admission policies MUST verify the certificate Subject Alternative Name (SAN) and Issuer against authorized CI/CD repository workflows (e.g., https
Admission policies MUST verify the certificate Subject Alternative Name (SAN) and Issuer against authorized CI/CD repository workflows (e.g., https://token.actions.githubusercontent.com).
Services MUST validate Rekor transparency log proofs (Tlog) to guarantee non-repudiation and temporal consistency at admission time.
Services MUST validate Rekor transparency log proofs (Tlog) to guarantee non-repudiation and temporal consistency at admission time.
Workload admission MUST mandate SLSA Level 3 provenance attestations (predicate type
Workload admission MUST mandate SLSA Level 3 provenance attestations (predicate type: https://slsa.dev/provenance/v1) and verify the builder identity, source repository, and entrypoint commit hash.
Controllers MUST reject Pod creation requests when attestation signatures fail cryptographic verification or when Rekor entry lookup fails.
Controllers MUST reject Pod creation requests when attestation signatures fail cryptographic verification or when Rekor entry lookup fails.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Sigstore Cosign Keyless Attestation and SLSA Level 3 Admission Invariant critical for AI coding assistants?
Enforces admission-time cryptographic verification of short-lived OIDC identities, Rekor transparency log entries, and SLSA Level 3 build provenance for all containerized workloads. Blocks execution of untrusted, unverified, or tampered artifacts by validating that image digests match immutable cryptographic signatures anchored in the Fulcio root of trust prior to Kubernetes workload scheduling. 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 (Admitting unverified container images, relying on static long-lived signing keys, or deploying without verifying SLSA Level 3 provenance predicates against Fulcio OIDC 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.