Local AI Cyber Lab: Open Source AI Development & Security Platform¶

A comprehensive platform for AI development, machine learning operations (MLOps), and cybersecurity research. Build, deploy, and secure AI models locally with enterprise-grade tools and security features.

Nessus AI - The world's only AI-powered exposure management platform

Quick Links¶

🛡️ Nessus AI Platform - AI-Powered Exposure Management
🌐 Documentation Portal
🚀 AI Development Platform
📊 System Status
📘 API Documentation
🔒 Security Portal

Platform Overview¶

Local AI Cyber Lab is an integrated platform that combines enterprise-grade AI capabilities with robust security features, all running locally on your infrastructure. Perfect for:

AI/ML Teams: Develop and deploy models securely
Security Researchers: Test AI systems and conduct security research
DevOps Engineers: Manage AI infrastructure and MLOps pipelines
Data Scientists: Experiment with models and track results

Core Services¶

Service	Purpose	Documentation
AI Development Hub	Centralized AI workspace	Getting Started
MLOps Dashboard	ML experiment tracking	MLOps Guide
AI Guardian	Security protection	Security Features
Secure Search	Privacy-focused search	Search Guide
Model Management	Model deployment & monitoring	Model Guide
Workflow Designer	AI pipeline creation	Workflow Guide
Monitoring Suite	Performance analytics	Monitoring

Key Features¶

🤖 AI Development¶

Model Management: Deploy and run models with Ollama
MLOps Pipeline: End-to-end ML workflow automation
Experiment Tracking: Monitor training with MLflow
Multi-Modal AI: Text, image, audio processing

🔒 Enterprise Security¶

AI Guardian: Advanced prompt injection protection
Secure Search: Privacy-focused data retrieval
Access Control: Role-based authentication
Security Monitoring: Comprehensive logging

🛠️ Infrastructure & DevOps¶

Container Orchestration: Scalable deployment
Workflow Automation: CI/CD for AI
Vector Database: Optimized AI data storage
Observability Stack: Full monitoring suite

Getting Started¶

Clone the repository:

git clone https://github.com/Local-AI-Cyber-Lab/Local-AI-Cyber-Lab.git
cd Local-AI-Cyber-Lab

Configure environment:

cp .env.example .env
# Edit .env with your configurations

Start services:
```
./scripts/install.sh
```

For detailed setup instructions, see our Getting Started Guide.

System Requirements¶

Minimum Requirements¶

Docker Engine 24.0+
Docker Compose v2.0+
16GB RAM
50GB Storage
CUDA-compatible GPU (optional)

Recommended Specifications¶

32GB+ RAM
100GB+ SSD Storage
NVIDIA GPU with 16GB+ VRAM
CUDA 11.8+

Architecture¶

graph TB
    subgraph Frontend ["AI Development Platform"]
        A[Open WebUI] --> B[API Gateway]
        C[MLOps UI] --> B
        D[DevOps Console] --> B
    end

    subgraph AI Services
        B --> E[Model Server]
        B --> F[Training Pipeline]
        B --> G[Inference API]
    end

    subgraph Security
        B --> H[AI Guardian]
        B --> I[Secure Search]
        J[Security Monitor] --> B
    end

    subgraph Storage
        E --> K[Object Store]
        F --> L[Vector DB]
        G --> K
    end

    subgraph Monitoring
        M[Metrics] --> B
        N[Dashboards] --> M
        J --> M
    end

Documentation¶

📚 User Guides¶

🔧 Component Documentation¶

📖 Additional Resources¶

Support & Community¶

Need assistance? Contact our support channels:

📧 Email: support@cyber-ai-agents.com
💬 Community Forum
🐛 Issue Tracking
🔒 Security Portal

Security & Compliance¶

For enterprise security information: - Security Documentation - Compliance Guide - Security Advisories - Incident Response