Synthetic Fraud Score
Detect and block synthetic identities
SentiLink’s Synthetic Score enables real-time detection of synthetic identities, protecting financial institutions from significant fraud losses. Built using expert-labeled data and continuously refined by a dedicated team of fraud analysts, the score identifies fraudulent patterns that evade traditional models. The product leverages comprehensive and high-quality data sources, including credit header data, public records, telco data, and more. Our network includes over 400 financial institutions—10 of the top 15 banks and 5 of the top 10 credit unions—allowing us to detect emerging fraud trends early through shared insights and recognize common application patterns among fraudsters. SentiLink combines deep domain expertise with machine learning to distinguish between malicious synthetic identities and benign anomalies. This approach results in low false positive rates, making it easier for fraud teams to investigate and act. Each score is accompanied by detailed reason codes and supporting evidence, providing high explainability and transparency.
Features
Benefits
Features
Real-Time Detection Using Comprehensive Data Sources
Combines credit header, telco, utility, and public records data to detect synthetic identities in real time, with precise scoring and minimal false positives to support efficient onboarding decisions.Network-Wide Insights Across 400+ Institutions
SentiLink partners with 400+ financial institutions, including 10 of the top 15 banks and 5 of the top 10 credit unions, to detect fraud trends early and refine models with real-world fraud feedback.Benefits
Minimize Fraud Losses with Precise Synthetic ID Detection
Reduce Friction for Legitimate Borrowers