The Repeat Crosser Pattern
Single-Query Blindness
- -Each crossing evaluated in isolation at the moment of inspection
- -No automatic correlation with previous crossings at other ports
- -Manifest discrepancies visible only through manual investigation
- -Pattern detection requires an analyst who already suspects something
With Argus
Stream Analytics continuously correlates crossing events across all ports of entry. When behavioral patterns emerge that deviate from established baselines, the system surfaces them automatically.
- Multi-port crossing correlation in real-time
- Manifest inconsistency flagging across events
- Behavioral deviation scoring against known patterns
- Automatic alert generation when thresholds exceed
Capabilities Revealed
Stream Analytics
Continuous event correlation across multiple data sources, identifying patterns that span time and geography.
Entity Resolution
Connecting identities across crossing events even when documents, vehicles, or companies change.
Behavioral Baselines
Machine learning models that establish normal patterns and detect meaningful deviations.