Detection & response

False positive

An alert that fires on activity that is not actually malicious; its counterpart, a false negative, is malicious activity that raised no alert.

Detection outcomes form a confusion matrix: true positive (malicious, alerted), false positive (benign, alerted), false negative (malicious, missed), true negative. Many SOCs also track benign positives: the rule worked as written, but the activity was authorised (an admin running PsExec).

Tuning is a trade-off. Every exclusion reduces noise and also creates a blind spot attackers can hide in (excluding a path an attacker can write to is the classic mistake). Good tuning narrows on stable, attacker-hard-to-control attributes and records why each exclusion exists and when to revisit it.

Precision (TP / (TP + FP)) is worth measuring per rule; a rule that has never produced a true positive in a year needs either a test proving it still works or retirement.

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