What We Learned from Analyzing Millions of Alerts by Zoey Chu

This brief Vectra AI summary highlights findings from an analysis of millions of detections: after triage and prioritization fewer than 0.1% of alerts represent real threats, identity-based attacks are a dominant concern, and custom detections help surface high-value threats; the note promotes reading the full report to learn how teams can reduce noise and improve response.