hips/HIPs/hip-0005-post-quantum-security-for-ai-infrastructure.md

hip, title, author, type, category, status, implementation-rust, implementation-go, created, requires

hip	title	author	type	category	status	implementation-rust	implementation-go	created	requires
0005	Post-Quantum Security for AI Infrastructure	Hanzo AI Team	Standards Track	Security	Final	partial	partial	2024-12-20	LP-100

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

1. Input Encryption: Client encrypts input with ML-KEM
2. TEE Processing: Computation in secure enclave
3. Output Encryption: Results encrypted before transmission
4. 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

1. All model storage uses ML-KEM encryption
2. API requests require ML-DSA signatures
3. Inter-service communication uses hybrid mode
4. 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

References

1. LP-100: NIST PQC Integration for Lux
2. NIST PQC Project
3. HIP-0003: Jin Multimodal AI Architecture

Copyright

Copyright and related rights waived via CC0.