Which of the following best explains how supervised-learning models help reduce false positives in cybersecurity threat detection?
Supervised-learning models learn from historical labeled data, including known legitimate and malicious events. This enables them to distinguish benign activity from actual threats more accurately and reduces false-positive alerts.
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