Which alert tuning technique can help reduce the volume of false positives generated by detection tools?

Refining detection rules and muting alert levels is an effective alert tuning technique that helps reduce the volume of false positives generated by detection tools. This approach involves carefully analyzing the existing rules used to generate alerts and adjusting them to be more precise in their detection capabilities. By refining these rules, security teams can eliminate triggers that are not relevant, thereby ensuring that alerts are more closely aligned with actual threats and real security events.

Muting alert levels also plays a crucial role in managing the response to alerts. For instance, if certain alerts are deemed to have low severity or are known to be frequent but non-threatening, muting them allows security teams to focus on higher-priority alerts that demand immediate attention. This strategic tuning not only helps in lowering the noise in the system but also enhances the overall effectiveness of the security operations by directing resources toward real issues.

In contrast, increasing the sensitivity of detection tools can often lead to a higher number of false positives as more benign activities may be flagged as suspicious. Disabling all alerts temporarily would not prevent the system from generating false positives but would instead suppress all detections, possibly allowing real threats to go unnoticed. Allowing all alerts through for review would create an overwhelming backlog of alerts for analysts, detracting from their