Response Analytics.
Monitor ABIS response patterns to detect anomalies, tune thresholds, and optimize decision routing. Build dashboards that provide actionable insights.
Track response distributions over time. Sudden shifts in average risk scores may indicate emerging attacks, model drift, or integration issues. Baseline normal patterns to detect anomalies.
Monitor decision outcomes: approval rate, challenge rate, block rate. Significant changes warrant investigation—a spike in blocks might indicate an attack wave or an overly aggressive threshold change.
Correlate ABIS decisions with downstream outcomes. Track how many challenged users complete step-up (conversion), how many blocked users appeal successfully (false positive rate), and how many approved transactions result in fraud (miss rate).