What type of analysis does QRadar perform on logs?

QRadar performs trend and anomaly analysis on logs as a fundamental component of its security information and event management (SIEM) capabilities. This type of analysis involves examining logs over time to identify patterns, trends, and deviations from the norm. By establishing what constitutes normal behavior for network traffic and user activity, QRadar can detect anomalies—instances where behavior significantly diverges from established patterns.

Identifying these anomalies is crucial in cybersecurity, as they often indicate suspicious activities or potential security incidents, such as intrusions or data breaches. By continuously analyzing log data for both trends and anomalies, QRadar enhances an organization's ability to respond proactively to threats, ensuring more effective security management and incident response.

While other types of analysis, such as user behavior analysis, might be part of broader security strategies or carried out within certain context areas, trend and anomaly analysis is particularly core to QRadar's function in monitoring and analyzing logs for security purposes.