A key risk indicator (KRI) is indicating alarms that are false positives for a network intrusion detection system (IDS). What adjustment might a risk practitioner recommend?

A recommended adjustment to the sensitivity of a network intrusion detection system (IDS) is pertinent when faced with false positive alarms from a key risk indicator (KRI). Sensitivity in this context refers to the system's ability to detect genuine threats and activity. When sensitivity is set too high, the IDS may flag benign activities as malicious, generating false positives.

By adjusting the sensitivity, the risk practitioner aims to refine the detection parameters so that the IDS becomes more selective in its alerts, thereby reducing the occurrence of false positives. This improvement not only enhances the accuracy of the system but also allows security teams to focus on genuine threats without unnecessary distractions.

In contrast, timing, frequency, and reliability are different dimensions of system performance. Timing refers to how quickly the IDS can react to threats, frequency deals with how often data is analyzed or alerts are produced, and reliability pertains to the overall dependability of the system. While these factors are important for the overall effectiveness of an IDS, they do not directly address the issue of false positives that arise from overly sensitive detection criteria. Hence, refining the sensitivity is the most direct and effective course of action in this scenario.