Architectural Invariant Design: Mandatory Hybrid Post-Quantum ML-DSA-65 and Classical ECDSA Dual-Signature Invariant
Mandatory Hybrid Post-Quantum ML-DSA-65 and Classical ECDSA Dual-Signature Invariant defines an industrial-grade behavioral standard for security engineering. Enforces hybrid quantum-resilient verification on asynchronous ingestion channels by pairing classical ECDSA (P-384/secp256r1) with post-quantum ML-DSA-65 (FIPS 204). Guards webhook payloads against Harvest-Now-Decrypt/Forge-Later (HNDL/HNFL) adversaries targeting critical webhook ingestion pipelines. Payload deserialization is strictly blocked until both mathematical signatures independently verify the raw unparsed octet stream bound to tamper-proof headers. 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 | Accepting classical-only ECDSA signatures or parsing payloads prior to dual-signature verification | 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 raw byte stream verification over canonicalized context
Engineers MUST ALWAYS enforce raw byte stream verification over canonicalized context: signing string MUST strictly concatenate `v1:${timestamp}:${nonce}:${rawBodyHash}`.
Engineers MUST ALWAYS verify BOTH classical ECDSA (P-384 or secp256r1) AND post-quantum ML-DSA-65 signatures in a fail-closed sequence before delegating to JSON parsers.
Engineers MUST ALWAYS verify BOTH classical ECDSA (P-384 or secp256r1) AND post-quantum ML-DSA-65 signatures in a fail-closed sequence before delegating to JSON parsers.
Engineers MUST NOT parse the JSON payload body into an Object or AST before both cryptographic signature checks have passed successfully.
Engineers MUST NOT parse the JSON payload body into an Object or AST before both cryptographic signature checks have passed successfully.
Services MUST reject payloads where timestamp drift exceeds +/- 300 seconds (clock skew protection) or when the nonce has already been observed in the replay-cache window.
Services MUST reject payloads where timestamp drift exceeds +/- 300 seconds (clock skew protection) or when the nonce has already been observed in the replay-cache window.
Components NEVER fall back to classical-only verification if ML-DSA verification fails or if the `X-Signature-ML-DSA-65` header is absent.
Components NEVER fall back to classical-only verification if ML-DSA verification fails or if the `X-Signature-ML-DSA-65` header is absent.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Mandatory Hybrid Post-Quantum ML-DSA-65 and Classical ECDSA Dual-Signature Invariant critical for AI coding assistants?
Enforces hybrid quantum-resilient verification on asynchronous ingestion channels by pairing classical ECDSA (P-384/secp256r1) with post-quantum ML-DSA-65 (FIPS 204). Guards webhook payloads against Harvest-Now-Decrypt/Forge-Later (HNDL/HNFL) adversaries targeting critical webhook ingestion pipelines. Payload deserialization is strictly blocked until both mathematical signatures independently verify the raw unparsed octet stream bound to tamper-proof headers. 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 (Accepting classical-only ECDSA signatures or parsing payloads prior to dual-signature verification) 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.