Which function of QRadar assists in mitigating false positives in alerts?

The function of QRadar that assists in mitigating false positives in alerts is alert customization through correlation rules. This feature allows users to tailor the way alerts are generated by defining specific conditions and relationships between different log sources and events. By customizing correlation rules, administrators can focus on the most relevant data and configure the system to recognize patterns of behavior that are meaningful within the context of their environment.

This reduces the likelihood of false positives by ensuring that only alerts that meet certain criteria are triggered, thereby enhancing the accuracy and relevance of the alerts generated. Custom correlation rules take into account the unique characteristics of the network and the specific threats it faces, allowing QRadar to distinguish between benign activity and potential security incidents more effectively.

While other options might play a role in the overall detection and analysis process, they do not directly address the fine-tuning of alerts in the same way. For instance, adjusting thresholds can change sensitivity but may not account for the complex relationships between events. Log source prioritization focuses on which data sources are more important but does not customize the alerts themselves. Flow monitoring primarily deals with network traffic and may not contribute directly to reducing false positive alerts based on event correlation.