Session
AI-Driven Cybersecurity: Interpretable Models for Anomaly Detection
This session highlights cutting-edge approaches to cybersecurity powered by AI and machine learning. It emphasizes the use of Generalized Isolation Forest algorithm for detecting anomalies in network traffic, coupled with Explainable AI (XAI) techniques to provide transparency in threat detection. Attendees will learn how to enhance trust and accountability in security systems while maintaining high detection performance — a crucial step toward safer, smarter, and more collaborative digital ecosystems.

Anirudh Khanna
Data Protection Solution Architect
Plano, Texas, United States
Links
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