Sift ThreatClusters combines customer-specific risk models with global model insights to create industry-specific risk signals that enhance fraud detection accuracy. By clustering companies with similar fraud patterns, it refines risk models and leverages insights across clusters, reducing false positives and negatives by up to 20% while enabling faster adaptation to emerging threats.
