Define the term "tuning" in the context of IDS.

In the context of Intrusion Detection Systems (IDS), tuning refers specifically to the process of adjusting the settings and parameters of the IDS to optimize its effectiveness in detecting true security threats while minimizing false positives. A false positive occurs when the system raises an alert for activity that is legitimate and poses no actual threat, which can overwhelm security teams and lead to alert fatigue.

Through tuning, security professionals can tailor the detection capabilities of an IDS to align more closely with the specific environment it monitors. This involves analyzing historical data, assessing the typical behavior of legitimate users, adjusting thresholds for alerts, and refining detection rules. The ultimate goal of tuning is to enhance the accuracy and reliability of the IDS, ensuring that it efficiently identifies genuine intrusions without being overwhelmed by misleading alerts.

The other options, while related to different aspects of system operation or management, do not accurately reflect the specific practice of tuning in an IDS context. Enhanced performance through tuning directly impacts the system’s ability to provide meaningful insights into security threats.