How to Use Pareto Principle to Fine-Tune Alerts and Reduce False Positives Wisely
ID: 851b63d1-9f46-59bf-8265-b022928ad54a
STIX ID: report--851b63d1-9f46-59bf-8265-b022928ad54a
Feed Name: Detect FYI
This document provides a KQL query that analyzes Sentinel incidents and alerts to identify which entities (IP, account, host) contribute most to false-positive alerts, computing FP rates, cumulative contribution for a Pareto view (Top 80% vs Remaining 20%), and preserving alert and incident titles to support targeted tuning.
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