Anomaly Detection and UEBA

Anomaly detection

Uncovering patterns and changes in those patterns is at the very heart of anomaly detection. In cybersecurity, this established baseline and deviation from it are what create the use case of anomaly detection. Once there’s been an anomaly and an action is required from the system, we can then move toward rectifying it somehow. Often, cyber attacks come from within networks and have clever ways of hiding their tracks, but with advanced pattern recognition that’s used for anomaly detection, AI systems can see when some actor/user is behaving in ways that don’t make sense for a normal user.