Architectural Invariant Design: Post-Quantum ML-KEM TLS 1.3 Hybrid Key Exchange Enforcement
Post-Quantum ML-KEM TLS 1.3 Hybrid Key Exchange Enforcement defines an industrial-grade behavioral standard for security engineering. Enforces mandatory hybrid post-quantum key encapsulation (ML-KEM / Kyber combined with classical ECDH) across all edge ingress load balancers and reverse proxies. Prevents 'Harvest Now, Decrypt Later' (HNDL) adversaries from capturing classical TLS sessions today to decrypt retroactively via Shor's algorithm on cryptanalytically relevant quantum computers. 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/RSA Key Exchange Vulnerable to Harvest-Now-Decrypt-Later Threat Models | 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 TLS 1.3 as the strict minimum protocol version (`minVersion
Engineers MUST ALWAYS enforce TLS 1.3 as the strict minimum protocol version (`minVersion: 'TLSv1.3'`) on all public and inter-region ingress listeners.
Engineers MUST ALWAYS prioritize hybrid ML-KEM groups (such as `X25519MLKEM768` or draft identifier `X25519Kyber768Draft00`) ahead of classical curves in the key exchange preference order.
Engineers MUST ALWAYS prioritize hybrid ML-KEM groups (such as `X25519MLKEM768` or draft identifier `X25519Kyber768Draft00`) ahead of classical curves in the key exchange preference order.
Engineers MUST NOT allow TLS 1.0, 1.1, or 1.2 on edge listeners handling confidential or regulated payload transit.
Engineers MUST NOT allow TLS 1.0, 1.1, or 1.2 on edge listeners handling confidential or regulated payload transit.
Services MUST enable telemetry to measure PQ-negotiated handshakes versus classical fallback ratios and detect downgrade anomalies.
Services MUST enable telemetry to measure PQ-negotiated handshakes versus classical fallback ratios and detect downgrade anomalies.
Infrastructure-as-Code definitions MUST NOT configure classical-only cipher suites (e.g., pure RSA key transport or non-hybrid ECDHE curves without ML-KEM support).
Infrastructure-as-Code definitions MUST NOT configure classical-only cipher suites (e.g., pure RSA key transport or non-hybrid ECDHE curves without ML-KEM support).
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Post-Quantum ML-KEM TLS 1.3 Hybrid Key Exchange Enforcement critical for AI coding assistants?
Enforces mandatory hybrid post-quantum key encapsulation (ML-KEM / Kyber combined with classical ECDH) across all edge ingress load balancers and reverse proxies. Prevents 'Harvest Now, Decrypt Later' (HNDL) adversaries from capturing classical TLS sessions today to decrypt retroactively via Shor's algorithm on cryptanalytically relevant quantum computers. 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/RSA Key Exchange Vulnerable to Harvest-Now-Decrypt-Later Threat Models) 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.