Several systems were initially reviewed as active offenses, but further analysis revealed that the traffic...

Here's why this is the most effective approach:

False Positive Reduction: The goal is to stop legitimate traffic from triggering offenses. This requires fine-tuning the rules generating those offenses.

Building Blocks: Rules are housed within building blocks in QRadar's hierarchical rule structure. The Custom Rules Editor is the tool to modify them.

Event-Based Tuning: The optimal approach is to target the specific event that's causing the false positives, making the solution more precise.