User Behavior Analytics (UBA) uses machine learning to build up a picture of a user’s usual habits and activity. If a user begins to deviate from their usual behavior, UBA solutions can identify and flag the abnormal behavior. It may be that the behavior is innocent, or it could indicate that an account has been hacked and that your network is compromised.
UBA solutions have progressed a great deal over the past few years. Advances in machine learning have allowed UBA solutions to make sense of the vast amounts of data that they have access to. This results in a comprehensive and effective means of identifying suspicious behavior.
It is important that your solution has access to as much data as possible – this will give it the greatest insight into network events. You will also want a solution with a clear dashboard that allows you to get timely notifications regarding network activities, and from which you can also manage remediation procedures.
In this article, we’ll consider the top user behavior analytics solutions currently on the market. We will highlight their key features, before suggesting who they would be ideally suited for. Across this list, we will identify solutions for a number of use cases, highlighting key players, as well as emerging solutions and providers.