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Synthetic Fraud Model

Detect and eliminate synthetic identities.

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Synthetic Fraud Model features

Here’s what you can do with Synthetic Fraud Model.

Our purpose-built models analyze consumer behavior, uncover data input anomalies and identify risk throughout critical points of the customer journey, enabling greater confidence that individuals are reliably and accurately represented.

Get TruValidate Synthetic Fraud Model

Tap into accurate and comprehensive data

Our model is built on a foundation of diverse data sources that include disputes and investigations, global credit, non-credit and device data.

Compliant with changing regulations

FCRA- and GLBA-compliant to withstand model governance reviews.

Improve prescreening and account opening phases

Remove compromised identities at prescreening and qualification phases before offers of credit are made, and detect synthetic identities when an account is opened.

Monitor portfolios

Pinpoint synthetic identities that already exist in your portfolio to reduce wasted collection efforts.

Enjoy flexible data delivery

Integrate into existing workflows via batch processing, API integration or web application.

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