Julie BRUNIAS

Julie Brunias is a recognized cybersecurity expert, AI/ML architect, and red-teamer with over 14 years of industry experience, known for presenting her research on machine learning and threat intelligence. She specializes in AI security, Data Loss Prevention (DLP), secure architecture, and adversarial tactics. She developed an independent ransomware prediction and threat intelligence tool. The tool utilizes machine learning algorithms (like Apriori and Monte Carlo) to analyze tactics, techniques, and procedures (TTPs) and map the evolving techniques of threat actors. She has presented her research at major events and conferences, including InCyber, Orbit Tech, GoSec, HackMiami and the Diana Initiative.