AI-Powered Threat Detection

An advanced cybersecurity solution using machine learning for real-time threat analysis and detection.

Our AI-powered threat detection that leverages advanced Machine Learning algorithms to identify and classify cyber-attacks with precision. By analyzing patterns and behaviors, the system detects the tactics employed by attackers, enabling proactive threat response and mitigation. This innovative approach not only enhances network and Infrastructure.

🎥 Demo

clip2.mp4

Key Features Demonstrated:

• Real-time threat detection and analysis
• Automated data processing workflow
• Interactive dashboard navigation
• Detailed threat analysis capabilities

📚 Usage Guide

1. Data Conversion

Extract .gz files to CSV format for preprocessing

2. Data Preprocessing

Clean and prepare your dataset

3. Model Execution

Run the LSTM model for threat classification

4. Dashboard Interface

Monitor and analyze threats through the interactive dashboard

Threats Exploiting Tactic

Upon ML model completion, a dashboard displays recent threats with Source IP, Commands, Tactic, and an Action button.

Threat Analysis Table

View detailed information about detected threats

Detailed Information

Access comprehensive threat insights and analytics

⚡ Quick Start

1. Clone Repository

   git clone git@github.com:Mugeshcybersecurity/AI-powered-threat-detection.git

2. Install Dependencies

   npm install

3. Configure API

   {
     "apiKey": "YOUR_API_KEY"
   }

4. Launch Application

   node index.js

💻 System Requirements

Component	Minimum Requirement
Processor	Core i5 or AMD Ryzen 5
RAM	4 To 8GB
OS	Windows

🔧 Troubleshooting

• Verify input file format (cowrie.json.x.gz)
• Check all dependencies are installed
• Validate API key configuration
• Monitor system resources

📞 Support

Need help? Open an issue or contact our support team.

---

Made with 💙 by Mugesh
MIT License