Applying Machine Learning to User Behavior Anomaly Analysis

Explore advanced machine learning techniques for user behavior anomaly detection in this conference talk from the Hack In The Box Security Conference. Delve into various methods and ideas for building security analytics solutions that understand user behavior trends and identify abnormal activity using state-of-the-art neural networks. Learn about empowering feature selection with clustering algorithms, implementing behavioral whitelisting, tuning scoring engines, predicting user actions with recurrent neural networks, and generating synthetic datasets. Gain insights into peer group analysis and other innovative approaches to enhance cybersecurity in enterprise systems and business applications.