Secure Model Service

A HIPAA/SOC2 compliant service for deploying private encrypted AI models to individual clients. This enterprise-grade solution allows secure deployment and management of LLMs with state-of-the-art encryption, monitoring, and subscription management.

Architecture Overview

This service provides on-demand deployment of secure, isolated AI model endpoints for clients. The system:

1. Creates encrypted copies of AI models using hybrid encryption (AES-256-GCM + RSA-4096)
2. Provisions isolated compute resources via Kubernetes or AWS EC2
3. Establishes secure endpoints accessible only to authorized clients with valid subscriptions
4. Enables inference, fine-tuning, and secure model management
5. Manages the complete lifecycle of model deployment with continuous monitoring

Installation

Python Package

pip install secure-model-service

Node.js Package

npm install secure-model-sdk

Quick Start

Python

from secure_model_service import SecureModelClient

# Initialize client
client = SecureModelClient(
    api_key="your-api-key",
    client_id="your-client-id"
)

# Deploy a model
deployment = client.deploy(
    model_name="ZimaBlueAI/HuatuoGPT-o1-8B",
    tier="pro",
    use_gpu=True
)

# Generate text
response = client.generate(
    prompt="Explain how your encryption system ensures HIPAA compliance:",
    max_tokens=100
)

print(response.text)

Node.js

const { SecureModelClient } = require('secure-model-sdk');

// Initialize client
const client = new SecureModelClient({
  apiKey: 'your-api-key',
  clientId: 'your-client-id'
});

// Deploy a model
async function deployModel() {
  const deployment = await client.deploy({
    modelName: 'ZimaBlueAI/HuatuoGPT-o1-8B',
    tier: 'pro',
    useGpu: true
  });
  
  console.log(`Deployment ID: ${deployment.deploymentId}`);
  
  // Generate text
  const response = await client.generate({
    prompt: 'Explain how your encryption system ensures HIPAA compliance:',
    maxTokens: 100
  });
  
  console.log(response.text);
}

deployModel();

Command Line

# Python CLI
secure-model deploy --model ZimaBlueAI/HuatuoGPT-o1-8B --tier pro --use-gpu

# Node.js CLI
secure-model deploy --model ZimaBlueAI/HuatuoGPT-o1-8B --tier pro --use-gpu

Key Components

• Encryption Service: Hybrid AES-256-GCM + RSA-4096 encryption for model weights
• Kubernetes Orchestration: Dynamic scaling of compute resources with auto-scaling
• AWS Integration: S3 for secure storage, EC2 for compute, IAM for access control
• API Gateway: Client-facing interfaces with subscription validation
• Authentication & Authorization: Multi-layered security with API keys and subscription validation
• Monitoring & Logging: HIPAA/SOC2 compliant audit logging and Prometheus metrics

Security Compliance

• HIPAA compliant data handling with audit logging
• SOC2 compliant operational procedures and monitoring
• End-to-end encryption of model artifacts and inference data
• Isolated per-client compute resources with secure networking
• Continuous subscription validation and automated lockout

Documentation

For complete documentation, visit our Documentation Site.

• API Reference
• Python SDK Guide
• Node.js SDK Guide
• Architecture Details
• Security Specifications
• Deployment Options