Architectural Invariant Design: Post-Quantum Cryptography (ML-KEM/Kyber) TLS 1.3 Mandate
Post-Quantum Cryptography (ML-KEM/Kyber) TLS 1.3 Mandate defines an industrial-grade behavioral standard for security engineering. Enforces post-quantum hybrid key exchange (ML-KEM/Kyber with classical elliptic curves) on all TLS 1.3 ingress and egress communication channels. Defends against 'Harvest Now, Decrypt Later' (HNDL) adversarial operations targeting enterprise APIs and data-in-transit boundaries. Disallows legacy TLS protocols (< 1.3) and classical-only key agreement configurations across all perimeter endpoints. 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 | Using classical-only key exchanges (ECDHE/RSA) or permitting TLS versions below 1.3 on public-facing gateways. | 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:
Services MUST enforce 'TLSv1.3' as both 'minVersion' and 'maxVersion' for all public-facing perimeter gateways and zero-trust east-west interconnects.
Services MUST enforce 'TLSv1.3' as both 'minVersion' and 'maxVersion' for all public-facing perimeter gateways and zero-trust east-west interconnects.
Engineers MUST configure hybrid post-quantum key agreement groups (e.g., 'X25519MLKEM768', 'x25519_kyber768', or 'SecP256r1MLKEM768') in secure TLS context definitions.
Engineers MUST configure hybrid post-quantum key agreement groups (e.g., 'X25519MLKEM768', 'x25519_kyber768', or 'SecP256r1MLKEM768') in secure TLS context definitions.
Engineers MUST NOT permit fallback to RSA key exchange or pure classical Diffie-Hellman (DH/ECDH) curves on external API entry points.
Engineers MUST NOT permit fallback to RSA key exchange or pure classical Diffie-Hellman (DH/ECDH) curves on external API entry points.
Clients (e.g., Axios, Fetch, Undici, Node HTTPS Agent) MUST specify post-quantum group negotiation when initiating requests to external microservices.
Clients (e.g., Axios, Fetch, Undici, Node HTTPS Agent) MUST specify post-quantum group negotiation when initiating requests to external microservices.
Cryptographic libraries MUST utilize engines backed by OpenSSL 3.2+ with liboqs, AWS-LC, or BoringSSL compiled with ML-KEM support.
Cryptographic libraries MUST utilize engines backed by OpenSSL 3.2+ with liboqs, AWS-LC, or BoringSSL compiled with ML-KEM support.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Post-Quantum Cryptography (ML-KEM/Kyber) TLS 1.3 Mandate critical for AI coding assistants?
Enforces post-quantum hybrid key exchange (ML-KEM/Kyber with classical elliptic curves) on all TLS 1.3 ingress and egress communication channels. Defends against 'Harvest Now, Decrypt Later' (HNDL) adversarial operations targeting enterprise APIs and data-in-transit boundaries. Disallows legacy TLS protocols (< 1.3) and classical-only key agreement configurations across all perimeter endpoints. 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 (Using classical-only key exchanges (ECDHE/RSA) or permitting TLS versions below 1.3 on public-facing gateways.) 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.