Detecting Website Intrusion and Account Compromise with Machine Learning
RSA Conference 2024 · Track Session
In an era where cyber threats are increasingly sophisticated and evasive, traditional signature-based detection methods often fall short. This talk, "Detecting Website Intrusion and Account Compromise with Machine Learning," presented by Robin from Meta at RSAC 2024, delves into a robust, machine learning-driven approach to identify and respond to malicious activities targeting web applications. The core premise is that machine learning excels at understanding and identifying deviations from normal behavioral patterns, offering a powerful alternative to static rule sets.