What does User Behavior Analytics (UBA) primarily focus on?

User Behavior Analytics (UBA) primarily focuses on tracking user behavior to detect potential threats to an organization's network and data. It involves the analysis of user activity and patterns within the system to identify deviations from established behavior, which can indicate malicious activity or security breaches. By utilizing machine learning and statistical analysis, UBA solutions can establish a baseline of normal user behavior and quickly identify anomalies that could signify an insider threat, a compromised account, or external attacks.

This approach is critical in modern cybersecurity frameworks, as traditional security measures may not effectively detect sophisticated threats that target legitimate users. The identification of unusual patterns—in terms of access times, usage of resources, or data exfiltration—enables security teams to respond proactively and mitigate risks before they escalate into significant breaches.

The other options, while related to network operations, do not align with the core focus of UBA. Enhancing network speed pertains to performance optimization, configuring network policies relates to setting security or access controls, and providing technical support involves assisting end-users with technical issues—all distinct from the analytical focus of tracking and interpreting user behavior for security purposes.