Which feature allows QRadar users to track user activity?

User Behavior Analytics (UBA) is specifically designed to track and analyze user activity within an organization. This feature uses machine learning and advanced analytics to establish a baseline for normal user behavior, allowing for the identification of deviations that may indicate suspicious activity, such as credential theft or insider threats. By monitoring user interactions across various systems and endpoints, UBA can flag unusual patterns and help security teams respond proactively to potential security incidents.

In contrast to UBA, other options focus on different aspects of security monitoring or incident management. Network Behavior Analysis, for example, primarily concentrates on detecting anomalies in network activity rather than user-specific actions. The Incident Response Protocol deals with the procedures for managing security incidents once they occur, rather than the continuous monitoring of user behavior. The Event Correlation Engine correlates events from different sources to identify potential security incidents but does not specifically focus on tracking user interactions or behaviors. Thus, UBA provides the most direct and tailored approach to understanding and monitoring user activity in the context of cybersecurity.