Automated detection of four IoT attack classes (lateral movement, binary staging, fileless execution, process injection) measured by kernel level forensic capture of every attacker session.
Biometric identity verification system combining facial recognition and voice authentication using deep learning for high assurance access control.
A cloud native automated security pipeline that detects threats in real time and orchestrates incident response playbooks using AWS serverless architecture.
Enterprise SIEM implementation on Azure Sentinel with custom KQL detection rules mapped to MITRE ATT&CK framework for proactive threat hunting.
Comprehensive vulnerability management program conducting enterprise wide scans with automated risk scoring and executive ready reporting dashboards.