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

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top