GitHub
CTEM Leader Lab
Interactive implementation workbench for security leaders moving from vulnerability management to Continuous Threat Exposure Management.
Selected work
Research publications, security tooling, and hands-on experiments spanning 2018 to 2026.
The common thread is practical security work: understanding attack surfaces, building defenses, and testing how intelligent systems behave under pressure.
Current builds
Hands-on projects aimed at evaluating modern AI systems and turning security research into usable practice.
GitHub
Interactive implementation workbench for security leaders moving from vulnerability management to Continuous Threat Exposure Management.
GitHub
Hands-on lab for adversarial ML attack and defense experiments.
GitHub
Companion tooling for evaluating MCP server trust boundaries, tool metadata drift, and LLM integration risks.
Research archive
Selected research across IoT security, cyber defense modeling, NLP security, and LLM-enabled systems.
Publication
LLM-driven natural-language-to-SQL workflow for HR analytics.
Publication
BERT-enhanced runtime application security for in-app threat detection.
Publication
BERT fine-tuning pipeline for HTTP payload threat classification.
Publication
Deep learning approach for forecasting terrorism risk patterns.
Publication
UAV-based cyber counterterrorism use-case exploration.
Publication
Game-theoretic model for attacker-defender control effectiveness analysis.
Publication
Automated fuzzing workflow for memory-safety and validation bug discovery.
Project
Research program on improving IoT device and deployment resilience.
Publication
IoT botnet behavior analysis with practical detection insights.