Which of the following tools analyzes network activity to detect suspicious traffic, unauthorized account use, and support threat hunting, but is not a data source?

User and Entity Behavior Analytics (UEBA) is designed to analyze patterns of user and entity behavior within a network. It focuses on establishing baselines for normal activities and identifies deviations from these patterns, which may indicate suspicious traffic or unauthorized account usage. UEBA uses advanced analytics, including machine learning, to detect anomalies rather than serving as a direct data source itself.

Unlike tools such as intrusion prevention systems or endpoint protection software, which actively monitor and respond to potential threats based on direct data inputs and signature-based detection methods, UEBA is more analytical in nature. It draws insights from various data sources, such as logs and events, but the tool itself does not generate or provide raw data; instead, it processes existing data to highlight irregularities. This capability supports proactive measures in threat hunting by providing context and insights into user behaviors that may be indicative of security risks.