Experian today announced its First-Party Fraud Scores was named Silver Medalist in the 2025 Impact Awards for Best First-Party Fraud Innovation by Datos Insights, the leading research and advisory partner to the banking, insurance and securities industries. The honor highlights “new solutions or innovations that deliver strong detection of first-party fraud abuse across account creation, credit applications, transaction authorization and dispute intake.”
Experian’s First-Party Fraud Scores are an advanced set of machine-learning-driven models designed to detect and prevent first-party fraud with greater speed and accuracy. By combining credit and non-credit data, identity graph analytics and advanced machine learning, the suite delivers immediate, adverse-actionable insights to stop fraudulent applications and transactions in real time.
“The cross-industry visibility that Experian brings to first-party fraud detection represents a significant advantage in the market,” said Jim Mortensen, Strategic Advisor at Datos Insights. “By analyzing patterns across multiple institutions and industries, the solution can identify coordinated fraud schemes that would otherwise go undetected.”
“Our First-Party Fraud Scores deliver a powerful, unified approach to detecting multiple dimensions of fraud on a single platform,” said Kathleen Peters, Chief Innovation Officer at Experian. “By identifying fraudulent intent both at the application stage and during account reviews, we equip lenders with the tools to stop high-risk accounts before they result in costly defaults. We are honored to receive the Fraud Impact Award from Datos Insights, recognizing the game-changing impact of this suite in protecting our clients and the consumers they serve.”
Unlike traditional credit risk tools that focus on historical repayment behavior, the First-Party Fraud Scores Suite identifies borrowers with potential intent to default early, enabling lenders to act before losses occur. Delivered through Experian Ascend Platform, these models leverage third-party data, internal identity intelligence, and solutions like Precise ID to provide a centralized, real-time defense against fraud. Key components include:
- Consumer First-Party Fraud Scores – Predicts early payment default risk by analyzing real-time identity data, credit bureau insights, cross-industry fraud patterns and behavioral indicators.
- Bust Out Score – Flags individuals likely to accumulate debt across multiple institutions and then default in a coordinated “bust out” scheme.
- Commercial First-Party Fraud Scores – Extends protection to small business and commercial lending by leveraging both business and consumer data assets.
Leveraging cross-institutional visibility, the solution also identifies repeat and serial fraudsters using data individual lenders cannot access alone—providing a comprehensive view of borrower behavior across multiple touchpoints.
For more information about the Datos Insights’ Impact Awards in Fraud & AML: https://datos-insights.com/resources/awards/fraud-aml/
