In this podcast, Dr. Christine Izuakor discusses the intersection of cybersecurity and AI – user behavior analytics. In the industry, this is known as UEBA. It’s essentially a process that measures and evaluates normal user activities happening in your network or on your systems in order to see when something abnormal is occurring, such as a hacked account. The fundamental operating principle of UEBA is to establish a snapshot of typical activities a user might make in an organization through logs and through other data sources, and then anytime there’s a new user activity that occurs, this analysis is done based on artificial intelligence and machine learning models to see if the activity matches what is considered normal. And if there is a significant deviation that may be cause for alarm.
Register today to the full discussion on machine learning/AI, insider risk and user behavior analytics.
