Architectural Invariant Design: Post-Quantum TLS 1.3 ML-KEM (Kyber) Hybrid Key Exchange Edge Invariant
Post-Quantum TLS 1.3 ML-KEM (Kyber) Hybrid Key Exchange Edge Invariant defines an industrial-grade behavioral standard for security engineering. Enforces mandatory dual classical and post-quantum hybrid key encapsulation (X25519MLKEM768 or X25519Kyber768Draft00) across all public-facing reverse proxies and edge ingress endpoints. Mitigates Store-Now-Decrypt-Later (SNDL) attacks by guaranteeing TLS 1.3 sessions are protected against future cryptanalytically relevant quantum computers while maintaining backward compatibility with legacy clients. 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 Classical-Only ECDH Key Exchanges on Public Edge Terminations Susceptible to SNDL Harvesting | 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:
Edge proxies MUST terminate TLS with TLS 1.3 as the strict minimum protocol version for high-value external endpoints.
Edge proxies MUST terminate TLS with TLS 1.3 as the strict minimum protocol version for high-value external endpoints.
Key exchange groups MUST prioritize hybrid post-quantum groups (specifically `X25519MLKEM768` or `X25519Kyber768Draft00`) ahead of classical curves (`X25519`, `secp256r1`).
Key exchange groups MUST prioritize hybrid post-quantum groups (specifically `X25519MLKEM768` or `X25519Kyber768Draft00`) ahead of classical curves (`X25519`, `secp256r1`).
Engineers MUST NOT disable TLS 1.3 hybrid KEM negotiation or hardcode legacy cipher suites that bypass ML-KEM key encapsulation.
Engineers MUST NOT disable TLS 1.3 hybrid KEM negotiation or hardcode legacy cipher suites that bypass ML-KEM key encapsulation.
Public infrastructure code MUST explicitly declare support for NIST FIPS 203 ML-KEM parameters at the edge routing layer.
Public infrastructure code MUST explicitly declare support for NIST FIPS 203 ML-KEM parameters at the edge routing layer.
Edge configurations SHOULD monitor and emit telemetry for `ssl_curve` or `key_exchange_group` to detect client fallbacks to non-PQ classical suites.
Edge configurations SHOULD monitor and emit telemetry for `ssl_curve` or `key_exchange_group` to detect client fallbacks to non-PQ classical suites.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Post-Quantum TLS 1.3 ML-KEM (Kyber) Hybrid Key Exchange Edge Invariant critical for AI coding assistants?
Enforces mandatory dual classical and post-quantum hybrid key encapsulation (X25519MLKEM768 or X25519Kyber768Draft00) across all public-facing reverse proxies and edge ingress endpoints. Mitigates Store-Now-Decrypt-Later (SNDL) attacks by guaranteeing TLS 1.3 sessions are protected against future cryptanalytically relevant quantum computers while maintaining backward compatibility with legacy clients. 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 Classical-Only ECDH Key Exchanges on Public Edge Terminations Susceptible to SNDL Harvesting) 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.