NetSPI security consultant Kurtis Shelton shares in this fireside chat with SmartBrief’s Susan Rush how AI and ML can evolve approaches to cybersecurity by accelerating coding and other rote tasks, freeing up human resources for creativity, research, and testing that advances the work of both attackers and defenders. They explore how to elucidate and quantify risks, and outline a holistic approach to testing and ensuring security when implementing large language and machine learning models, among other considerations for addressing vulnerabilities.