Which type of system analyzes patterns and behaviors of users and entities to detect anomalies in User and Entity Behavior Analytics (UEBA)?

User and Entity Behavior Analytics (UEBA) relies heavily on the use of Artificial Intelligence (AI) to analyze patterns and behaviors of users and entities within a system. AI is capable of processing vast amounts of data to establish a baseline of normal behavior for users and entities in an organization's environment. By employing machine learning algorithms and statistical analysis, AI can detect anomalies that deviate from this established baseline, which could indicate potential security threats such as insider threats, compromised accounts, or other forms of malicious activity.

The sophistication of AI enables it to continuously learn and adapt to new patterns of normal behavior, enhancing its ability to identify abnormal actions that traditional methods might miss. This proactive approach allows organizations to address potential security incidents more effectively and efficiently, making AI an essential component of UEBA solutions.