Project Overview
Developed a comprehensive security analysis platform that uses machine learning and behavioral analytics to detect and respond to security threats in real-time. The platform provides automated incident response and compliance monitoring.
Key Features
- Real-time threat detection and analysis
- Automated incident response workflows
- Compliance monitoring and reporting
- Security posture visualization
- Integration with popular security tools
Technical Implementation
- Built using Python for core analysis engine
- Implemented ML models for anomaly detection
- Created custom security rules engine
- Developed REST APIs for tool integration
- Used AWS security services integration
Impact
- Reduced incident response time by 90%
- Improved threat detection accuracy by 80%
- Automated compliance reporting
- Prevented several major security incidents