Transact with confidence knowing synthetic identities are proactively flagged for further authentication.
Detect synthetic identities in your portfolio and take proactive measures before fraudsters “cash out.”
Avoid inadvertently discouraging good customers from unbanked or under-banked communities.
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 ModelTap 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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