What does User Behavior Analytics (UBA) primarily aim to do?

User Behavior Analytics (UBA) primarily aims to monitor user behavior to detect potential threats. UBA systems analyze patterns in user activities and behavior within an organization’s network and systems. By establishing a baseline of normal user activity, UBA can identify deviations from this norm, which may indicate suspicious or malicious behavior. This capability is crucial for identifying insider threats, compromised accounts, and other security incidents that might not be captured by traditional security measures.

The strength of UBA lies in its ability to process vast amounts of data and apply machine learning algorithms to discern whether actions taken by users are typical or indicative of a security threat. Early detection allows organizations to respond promptly, reducing the potential impact of malicious activities.

In contrast, decreasing network speed does not align with the purpose of UBA, which focuses on threat detection. Enhancing user interface design and limiting employee access to data are also unrelated functions that do not represent the primary aim of UBA, which is centered around monitoring and identifying behavioral anomalies to enhance security.