Python-based security analysis tool
Developed a Python-based system that analyzes file behavior and detects malware signatures, reducing analysis time by 70%. The system integrates with YARA rules and machine learning models to identify both known and unknown threats.
• Reduced malware analysis time by 70%
• 95% detection accuracy on test dataset
• Open-source project with 200+ stars
Security event correlation and visualization
Created a custom Splunk dashboard that correlates security events from multiple sources, improving incident response time by 40%. Features real-time threat visualization, automated alerting, and custom correlation rules.
• Reduced incident response time by 40%
• Implemented 50+ custom correlation rules
• Decreased false positives by 35%
Infrastructure-as-code security solution
Developed an infrastructure-as-code framework that automates security controls deployment across multi-cloud environments, reducing security misconfigurations by 80%. Includes automated compliance checking and remediation.
• Reduced security misconfigurations by 80%
• Automated compliance for CIS benchmarks
• Implemented security guardrails for 100+ services