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 10 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.
How Does UBA Work?
User Behavior Analytics solutions work by collecting user information and building up a picture of regular behavior. This baseline includes information such as where a user usually logs in from (geographically and by device), their usual work hours, who they usually interact with, what tasks they usually undertake, etc. This gives the solution a comprehensive understanding of each user’s behavior, allowing them to identify a user based on the actions they take.
If a UBA solution encounters a user who is acting differently from their behavior baseline – e.g., someone logging in from a different device, contacting accounts they would not usually, or attempting to access files that aren’t related to their job role – it flags that activity as suspicious.
The UBA solution will assign a risk score to this event, then decide if the account should be suspended, if an admin should be notified, or apply another remediation action as per admin-defined policies.
UBA solutions use ML and AI, which means that they are constantly evolving and improving their analysis. The more data they are able to gather, the more accurate their user identification can be.
What Are The Benefits Of UBA?
UBA solutions allow you to add an extra layer of contextual security to your accounts. Rather than relying on static policies that could be bypassed or fooled, UBA solutions are constantly at work and constantly improving. It doesn’t matter if a user is accessing a restricted environment or not, their behavior will be logged to ensure they are who they say they are.
Other benefits of UBA include:
- Effectively process millions of user events
- Optimize solutions and security through analysis of user behavior
- Detect and prioritize user-based threats
- Gain actionable insights into network threats
What Is The Difference Between UBA And UEBA?
UEBA stands for User and Entity Behavior Analytics. This works in a very similar way to UBA, though offers a slightly expanded range of capabilities. As well as monitoring and analyzing the behavior of users, UEBA solutions monitor entity behavior. Entities include things like routers, servers, and endpoints. By monitoring these entities, you can identify if they are operating normally, or if they might have been compromised. In short, UEBA monitors the behavior of humans and machines, to identify suspicious behavior, whereas UBA only analyzes human behavior.
In some cases, UEBA might refer to User and Event Behavior Analytics.