Session Title | Adversary Threat Detection Using Artificial Intelligence and Machine Learning
How can artificial intelligence and machine learning help Blue Teams defend against adversaries? This talk covers the theoretical aspects of traditional vs. new approaches in cyber defense, dynamic threats, and how to leverage and improve existing teams to inject Cyber Al/ML to find unknown unknowns. We'll cover areas for improving existing teams, leveraging adversary patterns and behaviors, why commercial solutions may not cover everything you need, and what you need to build a focused Cyber Al/ML team.
"Amin has over 20 years of experience as a Cybersecurity practitioner and researcher providing design, development, implementation, analysis, support, and consulting. Amin has a Masters in Computer and Information Systems Security from GMU, and he is a former PhD student in the Volgenau School of Engineering at George Mason University.
Over the years, has helped organizations across the US and Middle-East with Cyberthreat Intelligence, Malware Analysis & Reverse Engineering, Incident Response, Red Teaming, and secure application & system level development. Currently, he's focusing on operationalizing Cybersecurity and Artificial Intelligence & Machine Learning for use by Blue Teams."