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---
title: Cyber-LLM Research Platform
emoji: 🛡️
colorFrom: green
colorTo: blue
sdk: docker
pinned: false
license: mit
short_description: Cybersecurity AI Research Platform with HF Models
---
# 🛡️ Cyber-LLM Research Platform
Advanced Cybersecurity AI Research Environment for threat analysis, vulnerability detection, and security intelligence using Hugging Face models.
## 🚀 Features
- **Advanced Threat Analysis**: Multi-model AI analysis for cybersecurity threats
- **Code Vulnerability Detection**: Automated security code review and analysis
- **Multi-Agent Research**: Distributed cybersecurity AI agent coordination
- **Real-time Processing**: Live threat intelligence and incident response
- **Interactive Dashboard**: Web-based research interface for security professionals
## 🔧 API Endpoints
- `GET /` - Main platform dashboard
- `POST /analyze_threat` - Comprehensive threat analysis
- `GET /models` - List available cybersecurity models
- `GET /research` - Interactive research dashboard
- `POST /analyze_file` - Security file analysis
- `GET /health` - Platform health check
## 🤖 Available Models
- **microsoft/codebert-base** - Code analysis and vulnerability detection
- **huggingface/CodeBERTa-small-v1** - Lightweight code understanding
- **Custom Security Models** - Specialized cybersecurity AI models
## 💻 Usage
### Quick Threat Analysis
```bash
curl -X POST "https://unit731-cyber-llm.hf.space/analyze_threat" \
-H "Content-Type: application/json" \
-d '{
"threat_data": "suspicious network activity detected on port 443",
"analysis_type": "comprehensive"
}'
```
### Interactive Research
Visit the `/research` endpoint for a web-based cybersecurity research dashboard.
## 🔬 Research Applications
- **Threat Intelligence**: Advanced AI-powered threat analysis and classification
- **Vulnerability Research**: Automated discovery and analysis of security vulnerabilities
- **Incident Response**: AI-assisted cybersecurity incident investigation and response
- **Security Code Review**: Automated security analysis of source code and configurations
- **Penetration Testing**: AI-enhanced security testing and red team operations
## 🛠️ Development
This platform is built using:
- **FastAPI** - High-performance web API framework
- **Hugging Face Transformers** - State-of-the-art AI model integration
- **Docker** - Containerized deployment for scalability
- **Python 3.9** - Modern Python runtime environment
## 🔐 Security Focus
This research platform is designed specifically for cybersecurity applications:
- **Ethical Research**: All capabilities designed for defensive security research
- **Professional Use**: Intended for security professionals and researchers
- **Educational Purpose**: Advancing cybersecurity through AI research
- **Open Source**: Transparent and community-driven development
## 🌐 Links
- **GitHub Repository**: [734ai/cyber-llm](https://github.com/734ai/cyber-llm)
- **Hugging Face Space**: [unit731/cyber_llm](https://huggingface.co/spaces/unit731/cyber_llm)
- **Documentation**: Available at `/docs` endpoint
- **Research Dashboard**: Available at `/research` endpoint
---
**🔬 Advancing Cybersecurity Through AI Research**
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