Which term describes the process of analyzing data from different sources to find security threats?

The process of analyzing data from different sources to identify security threats is best described by the term "data correlation." In the context of security and SIEM (Security Information and Event Management) systems like IBM QRadar, data correlation refers to the systematic examination of overlapping data elements from various logs and events to uncover relationships, patterns, or anomalies that may indicate potential security incidents. This is crucial for effective threat detection, as it allows security teams to gain a comprehensive view of activities across the network by correlating event data from disparate systems. By identifying commonalities among different data points, security analysts can uncover threats that might not be apparent when viewing isolated data.

The other options serve different purposes within the data management and analysis process. Data collection pertains to the gathering of data from various sources. Data ingestion refers to the method of importing and processing data into the SIEM tool but does not inherently include the analysis aspect. Data visualization, on the other hand, is about representing data graphically to simplify understanding, but it does not involve the analytical process of finding security threats. Thus, "data correlation" is the most accurate term concerning the analysis of varied data sources to detect security threats in a robust SIEM environment.