Project Overview
Led the development and architecture of a sophisticated open-source Security Information and Event Management (SIEM) platform featuring advanced offensive and defensive cybersecurity capabilities.
Key Features
- Real-time log collection and correlation from diverse sources
- Advanced threat detection with machine learning algorithms
- Interactive security dashboards and visualizations
- Customizable alerting and response mechanisms
- Comprehensive audit trail and forensic analysis tools
Technical Implementation
- Backend: Developed a robust Python-based backend leveraging advanced data processing and correlation techniques
- Frontend: Created an intuitive, responsive Next.js frontend with dynamic threat visualization dashboards
- Analytics: Implemented machine learning models for anomaly detection and threat identification
- Architecture: Designed with scalability and extensibility as core principles
- Security: Built with industry-standard security practices and compliance considerations
Links & Resources
- GitHub Repository
- Project documentation and contribution guidelines available
- Open-source license for community collaboration and improvement