As cyber threats become more sophisticated, traditional security tools often fail to keep pace with evolving attack techniques. In this session, Darlington will explore how AI agents powered by Azure AI can be applied to cybersecurity — enabling autonomous detection, classification, and response to malware threats such as Trojans.

Drawing on his research in heuristic-based machine learning for malware detection, Darlington will demonstrate how agentic AI systems can bridge the gap between academic models and real-world applications. Attendees will learn practical ways to leverage tools like Azure AI Foundry and GitHub Copilot to build intelligent security workflows, integrate AI into defensive strategies, and move towards truly autonomous cyber defense.