Increasing digital payment volumes and types creates increasing fraud volumes and attack vectors. Financial institutions need to collaborate to develop macro insights and beat the fraudsters with valid models that are weighted appropriately across all parties.
Consume, distribute and exchange secure fraud signals without exposing raw data with USP’s best-in-class fraud management
Maintain the strength of custom, proprietary signals and complement with community exchanged signals
Choose your adopted model insights and which contribute to community findings
Leverage transparent, individual signals rather than a single opaque model
Understand localized threats before they become endemic
Incorporate signals from third-party fraud intelligence sources
Create informative and meaningful data features, focused on individual requirements
USP Worldwide was awarded Best Wow Insight from Data Award at the Fintech Finance Awards for using data to bring best-in-class fraud management to financial institutions of all sizes.
Machine learning insight is only as strong as the data it receives. Systems must be supplied with the widest possible view of risk in real time. This necessitates access to internal and external data.
Incorporate community data into machine learning model training and risk analysis
Consume community fraud signals in real time to instantly improve models
Integrate proven model features into adaptive machine learning strategies
Leverage a hybrid approach with model creation and risk scoring
Leverage an intuitive UI for validation, and automatically apply community contributions for accelerated time to value
Learn about USP’s wide-ranging fraud prevention and detection capabilities.
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