Detecting Website Intrusion and Account Compromise with Machine Learning

Explore a 39-minute conference talk from the RSA Conference on using machine learning to detect website intrusions and account compromises. Learn about the growing importance of anomaly detection in open environments, both before and after login. Discover the approach to identifying misuse and intrusions through machine learning techniques, including data analysis, feature engineering, ensemble modeling, and real-time integration. Gain insights from Meta Security Engineer Robin Franklin Guha on implementing these advanced security measures to protect externalized applications.

Detecting Website Intrusion and Account Compromise with Machine Learning