Roy Mwikya

As an AI Security Specialist with over five years of experience, I have dedicated my career to protecting AI and machine learning systems from adversarial threats. My journey began with a strong foundation in computer science, culminating in a Master’s degree in Cybersecurity & Artificial Intelligence from Carnegie Mellon University. I have a proven track record of leading cross-functional teams to deploy robust AI security frameworks, significantly reducing vulnerabilities in enterprise environments by over 40%.

In my current role as a Senior AI Security Specialist at Palo Alto Networks, I spearhead security initiatives for AI-driven products utilized by more than 500 enterprise clients. My efforts have led to the design of a proprietary adversarial attack detection system that has reduced false positives by 35% and improved threat response time by 50%. I am passionate about mentoring the next generation of engineers, having guided a team of eight in secure coding practices and threat modeling for AI deployments. My previous experience at IBM Security further honed my skills, where I developed an open-source toolkit for detecting model inversion attacks, which has been adopted by over 10,000 developers on GitHub.