Alarm System for Cybersecurity

Project Overview:

The project aims to develop a C++-based alarm system that detects malware attempting to steal user information. The system integrates Agentic AI, utilizing a generative algorithm to identify suspicious activity on a user's computer. This AI-driven approach enables real-time malware detection, allowing cybersecurity analysts to proactively counter threats before they compromise sensitive data.

Features

• AI-Powered Threat Detection: Uses Agentic AI with generative algorithms to recognize abnormal system behavior.
• Real-Time Alerts: Instantly notifies users of potential malware attempting to steal information.
• Adaptive Learning: Continuously refines threat detection through pattern analysis.
• C++ Efficiency: Built for high-performance security analysis with minimal system overhead.
• Integration Capabilities: Compatible with cybersecurity monitoring frameworks.

Usage

1. Installation

   • Clone the repository:

     git clone https://github.com/your-repo/alarm-system.git

   • Compile the C++ project using your preferred compiler.

2. Configuration

   • Adjust detection sensitivity in the configuration file (config.json).
   • Define custom rules for malware identification.

3. Execution

   • Run the system:

     ./alarm-system

   • Monitor logs for detected threats and alerts.

4. Monitoring

   • Use LangGraph and Gemini for threat visualization and decision-making insights.