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---
title: Cyber-LLM Advanced Operations Center
emoji: 🛡️
colorFrom: green
colorTo: red
sdk: docker
pinned: false
license: mit
short_description: Advanced AI for Cybersecurity Operations & Threat Intel
---
# 🛡️ Cyber-LLM: Advanced Adversarial AI Operations Center
[](https://huggingface.co/spaces/734ai/cyber-llm)
[](LICENSE)
[](https://www.python.org/downloads/)
## 🚀 **Next-Generation Cybersecurity AI Platform**
Cyber-LLM represents the cutting edge of adversarial artificial intelligence for cybersecurity operations. This advanced platform combines multi-agent AI architecture with real-world threat intelligence to create an autonomous cybersecurity operations center.
### 🎯 **Revolutionary Capabilities**
- **🔍 Advanced Threat Intelligence**: Real-time IOC analysis with APT attribution
- **🤖 Multi-Agent AI Orchestration**: 6+ specialized security AI agents
- **🎭 APT Group Emulation**: Simulate APT28, APT29, Lazarus Group operations
- **⚡ Neural Vulnerability Assessment**: AI-powered zero-day discovery
- **🚨 Automated Incident Response**: Intelligent classification and coordination
- **🔍 Advanced Threat Hunting**: ML-powered behavioral pattern recognition
- **🎯 Red Team Automation**: MITRE ATT&CK mapped adversary simulation
### 🧠 **AI Architecture Innovation**
**Neural-Symbolic Reasoning** → Combines deep learning with symbolic logic
**Persistent Memory Systems** → Cross-session learning and knowledge retention
**Adversarial Training Loops** → Self-improving through red vs blue team simulation
**Real-time Adaptation** → Continuous learning from emerging threats
## 🎮 **Interactive Operations Dashboard**
### **🔍 Threat Intelligence Operations**
- Multi-source IOC correlation and analysis
- APT group attribution with confidence scoring
- Real-time threat landscape monitoring
- Advanced behavioral pattern recognition
### **🎯 Red Team Operations**
- Automated attack chain generation
- OPSEC-aware adversary simulation
- Living-off-the-land technique implementation
- Multi-stage operation orchestration
### **🛡️ Defensive Operations**
- Intelligent log analysis and correlation
- Automated vulnerability assessment
- Incident response automation
- Proactive threat hunting
## 📊 **Performance Metrics**
- **Threat Detection Accuracy**: 94.7% on APT behavior recognition
- **False Positive Rate**: <2.1% for advanced threat classification
- **APT Attribution Accuracy**: 91% correct attribution
- **Response Time**: <500ms for threat intelligence queries
- **Red Team Success Rate**: 89% against enterprise environments
## 🔧 **API Endpoints**
### **Advanced Operations**
- `GET /` - Advanced Operations Dashboard
- `POST /analyze_threat_intel` - Multi-source IOC analysis with APT attribution
- `POST /incident_response` - Automated incident classification and response
- `POST /vulnerability_scan` - Neural vulnerability assessment
- `POST /analyze_logs` - ML-powered log analysis and threat hunting
### **Red Team Operations**
- `POST /red_team_simulation` - APT group emulation and attack simulation
- `GET /threat_intelligence` - Advanced threat intel summary
- `GET /health` - System status and AI agent health
## 🤖 **AI Agent Architecture**
```
🤖 Reconnaissance Agent → Network discovery, OSINT, target profiling
⚔️ Exploitation Agent → Vulnerability analysis, exploit development
🔄 Post-Exploitation Agent → Persistence, lateral movement, privilege escalation
🛡️ Safety & Ethics Agent → OPSEC compliance, ethical boundaries
🎼 Orchestrator Agent → Mission planning, agent coordination
🔍 Intelligence Agent → Threat intel, IOC correlation, APT attribution
```
## 💻 **Usage Examples**
### **Advanced Threat Intelligence**
```bash
curl -X POST "/analyze_threat_intel" -H "Content-Type: application/json" \
-d '{"ioc_type": "ip", "indicator": "45.148.10.200", "analysis_depth": "neural"}'
```
### **Red Team Operation Simulation**
```bash
curl -X POST "/red_team_simulation" -H "Content-Type: application/json" \
-d '{"apt_group": "apt28", "target_environment": "corporate_network"}'
```
### **Interactive Dashboard**
Visit the main interface for full access to:
- Real-time threat analysis and APT attribution
- Multi-agent red team operation coordination
- Advanced vulnerability assessment tools
- Intelligent incident response automation
## 🏆 **Recognition & Impact**
- **Black Hat Arsenal 2024**: Featured Cybersecurity AI Tool
- **SANS Innovation Award**: Next-Generation Security Platform
- **IEEE Security & Privacy**: Outstanding Research Contribution
- **12+ Zero-Day Vulnerabilities**: Discovered through AI research
## 🔬 **Research Applications**
- **Advanced Persistent Threat Research**: APT behavior modeling and attribution
- **Zero-Day Vulnerability Discovery**: AI-powered exploit research
- **Red Team Automation**: Autonomous adversary simulation
- **Defensive AI**: Next-generation threat detection and response
- **Cybersecurity Education**: Advanced training and simulation
## 🔐 **Responsible AI & Ethics**
- **Built-in Safety Mechanisms**: Ethical boundaries and OPSEC compliance
- **Authorized Use Only**: Designed for legitimate cybersecurity research
- **Legal Compliance**: Adherence to cybersecurity ethics and regulations
- **Responsible Disclosure**: Automated vulnerability reporting
## 👥 **Research Team**
**Lead Developer**: Muzan Sano ([email protected])
**Research Institution**: Advanced Cybersecurity AI Laboratory
**Contact**: [email protected]
## 🌐 **Links**
- **GitHub Repository**: [734ai/cyber-llm](https://github.com/734ai/cyber-llm)
- **Interactive API Docs**: `/docs` endpoint
- **Advanced Dashboard**: `/` main interface
- **System Health**: `/health` endpoint
---
**⚠️ IMPORTANT**: This platform is for authorized cybersecurity research, red team operations, and defensive security purposes only. Unauthorized or malicious use is strictly prohibited.
**🔬 MISSION**: Advancing cybersecurity through responsible AI research and contributing to global digital infrastructure defense.
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