Risk Scoring & Analytics

ML-powered scoring, convoy and common-location analysis, and behavioral anomaly detection turn raw signaling into prioritized, actionable intelligence.

ML Risk Scoring

Machine-learning models assign continuous risk scores from movement, association, and behavioral signals.

Convoy Detection

Identifies devices that consistently travel together across time and geography.

Common-Location Analysis

Surfaces subjects who repeatedly co-locate at the same sites, revealing latent networks.

Behavioral Anomaly Detection

Flags deviations from established movement and usage patterns for analyst review.