Identity Theft Score
Stop applications using stolen identities
SentiLink's Identity Theft Score detects the use of stolen identities in real time. The solution is designed to distinguish true fraud from edge-case anomalies, using advanced analytics, a continuously updated fraud label set, and expert review. Our fraud analysts work closely with institutions to monitor trends and label data, uncovering new MOs and refining detection techniques. This collaboration ensures that our models stay up to date with the evolving fraud landscape. The Identity Theft Score is powered by a combination of rich data sources including credit header, public records, telco data and our collaborative network of over 400 financial institutions. These inputs enable accurate and early detection of identity theft at onboarding. Designed for operational ease, our score includes clear reason codes and investigation-ready data, streamlining fraud team workflows and reducing manual reviews.
Features
Benefits
Features
Expert Labels Drive Identity Theft Detection
Our fraud analysts label identity theft cases across financial institutions, ensuring models are trained with real-world, verified insights that enhance accuracy and detection precision.Real-Time Signals from Comprehensive Data Sources
Identity Theft Score uses credit header, telco, utility and public records data along with IP, Phone and email data to detect fraud signals at onboarding, improving accuracy while minimizing friction for legitimate users.Benefits
Stop Identity Theft at Onboarding
Frictionless Experience for Real Consumers