hip-0005

HIP-5: Post-Quantum Security for AI Infrastructure. Status Draft. Hanzo's own standard — read this before implementing against it.

HIP-0005: Post-Quantum Security for AI Infrastructure

Abstract

This proposal mandates the integration of NIST Post-Quantum Cryptography standards across all Hanzo AI infrastructure, ensuring quantum-resistant security for AI models, data, and communications. Building on Lux Network's PQC implementation (LP-100), this extends quantum resistance to AI-specific operations.

Specification

PQC Algorithm Adoption

Inherit from Lux Network (LP-100):

ML-KEM-768: Default key encapsulation
ML-DSA-65: Default digital signatures
Hybrid Mode: ML-KEM + X25519 for defense-in-depth

AI-Specific Security Layers

Model Protection

pub struct SecureModel {
    // Model weights encrypted with ML-KEM
    encrypted_weights: Vec<u8>,
    // Signature for integrity
    signature: MlDsaSignature,
    // Encryption key wrapped with KEK
    wrapped_key: WrappedKey,
    // Privacy tier configuration
    privacy_tier: PrivacyTier,
}

Secure Inference Pipeline

Input Encryption: Client encrypts input with ML-KEM
TEE Processing: Computation in secure enclave
Output Encryption: Results encrypted before transmission
Audit Trail: ML-DSA signed logs

API Authentication

{
  "api_key_id": "ak_1234",
  "timestamp": 1703001234,
  "nonce": "random_value",
  "signature": {
    "algorithm": "ML-DSA-65",
    "value": "base64_signature"
  }
}

Privacy Tiers for AI

| Tier | Use Case | Security Features | |------|----------|-------------------| | 0 | Public models | Basic PQC encryption | | 1 | User data | + At-rest encryption | | 2 | Proprietary models | + TEE processing | | 3 | Sensitive inference | + GPU CC (H100) | | 4 | Classified AI | + Full TEE-I/O |

Key Management

Hierarchical Key Structure

Root Key (ML-KEM-1024)
├── Model Encryption Keys (ML-KEM-768)
├── API Authentication Keys (ML-DSA-65)
├── Data Encryption Keys (ML-KEM-768)
└── Session Keys (Hybrid Mode)

Key Rotation Schedule

Root Keys: Annual rotation
Model Keys: Per version
API Keys: Monthly rotation
Session Keys: Per connection

Implementation Requirements

For AI Services

All model storage uses ML-KEM encryption
API requests require ML-DSA signatures
Inter-service communication uses hybrid mode
Audit logs are cryptographically signed

For Client SDKs

from hanzo import SecureClient

client = SecureClient(
    api_key="...",
    pqc_enabled=True,  # Default
    privacy_tier=2
)

# Automatic PQC encryption/signing
response = client.complete(
    model="HMM-32B",
    messages=[...]
)

lementation