Introduction to User and Entity Behavior Analytics (UEBA)

User and Entity Behavior Analytics (UEBA) is an essential aspect of security analytics and intelligence. Its importance emanates from its capability to detect anomalies or variations in normal user behavior patterns on networks, making it easier to identify potential threats and respond to them proactively.

What is UEBA? UEBA is a cybersecurity process that takes note of the normal conduct of users. It is focused on detecting deviations from these patterns. The 'users' here could be employees within an organization, outside contractors, software accounts, or even devices to a large extent. The aim is to spot out malicious activities and possible cybersecurity threats.

How does it work? UEBA utilizes machine learning algorithms to establish a baseline of normal 'user' behavior patterns. It then consistently compares new behavior against this baseline, and flags anything that significantly deviants as a potential security threat.

Exam Tips: Answering Questions on User and Entity Behavior Analytics (UEBA) When answering questions related to UEBA, remember the following:

1. Understand the concept and workings of UEBA. Basics include its definition, its use in cybersecurity, and the use of machine learning in its functionality.
2. Know that UEBA is integral in detecting insider threats, compromised credentials, and uses machine learning to establish normal behavior patterns.
3. It's also pertinent to understand that UEBA helps organizations to proactively respond to potential security threats.
4. Specific examples of how UEBA can be applied in real-world scenarios can also help score points in an examination.
5. Most importantly, keep your answers concise and to the point.