User Behavior Analytics (UBA) is one of the latest advancements to have gained the attention of the security community. It’s based on the premise that human beings have distinct patterns of behavior, and identifying any deviations in these patterns can point to criminal activity. Thanks to the digital footprint which users leave behind whenever they log on to the network we can build an accurate profile of what normal behavior looks like – and spot abnormal behavior which might otherwise have disappeared under the radar.

But what are the key work behaviors typically monitored by UBA tools? This is the main topic of an article that I contributed to. If you are interested in the remaining part, you can read here: