Securing the Future of Artificial Intelligence
Bridging corporate, government, and startup expertise to pioneer resilient AI-driven security ecosystems. Over two decades of research and practice at the intersection of cybersecurity, artificial intelligence, and digital forensics.
About Me
With over two decades of experience in cybersecurity and AI security research, I specialize in securing artificial intelligence systems against emerging threats. My work focuses on adversarial machine learning, LLM security, and the development of robust defense frameworks that bridge theoretical research with practical, implementable solutions.
Having worked extensively across Fortune 500 enterprises, government agencies, and high-growth startups, I bring a rare cross-sector perspective to modern security challenges. This diverse background enables me to understand and address threats from multiple angles—whether protecting critical infrastructure, responding to sophisticated intrusions, or building security programs from the ground up.
Core Areas of Expertise
- AI & LLM Security — Adversarial robustness, prompt injection defense, model hardening
- Digital Forensics & Incident Response — Enterprise DFIR, memory forensics, evidence handling
- Threat Intelligence & Hunting — MITRE ATT&CK mapping, adversary emulation, proactive defense
- Security Automation — KAPE, Autopsy, SIEM integration, SOAR workflows
- System Hardening — Linux/Windows security, configuration management, compliance
Perspectives & Expertise
"As AI systems become deeply integrated into critical infrastructure, securing the ML lifecycle — from data poisoning to adversarial attacks — is no longer optional. My mission is to architect robust defense frameworks that align innovation with trust."
Flagship Projects & Research
Let's Collaborate
Whether you're looking to strengthen your AI security posture, review a framework, or explore research partnerships, I'm open to meaningful conversations.