LimaCharlie False Positive Rules is a feature within the LimaCharlie platform that enables users to create custom rules for filtering out false positive alerts from detection systems. The tool addresses the challenge of alert fatigue by allowing security teams to define exceptions and suppress unnecessary alarms. The feature provides capabilities for tuning detection rules by creating false positive rules that can be applied across different scenarios. Users can establish exceptions for broad detections, filter alerts from specific devices, and manage organization-specific cases. The tool also supports suppression of errors from managed detection and response rules that may not be directly adjustable. False positive rules in LimaCharlie function as customization tools for detection systems, enabling security teams to tailor their security setup according to their specific requirements. The interface is designed to make the process of creating and managing these rules accessible to users without requiring extensive technical expertise. The tool integrates into the broader LimaCharlie security operations platform, working alongside other detection and response capabilities to help organizations maintain effective security monitoring while reducing the volume of false alarms that can overwhelm security teams.