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Machine Learning Device Model

Predict the risk of every transaction.

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Machine Learning Device Model features

Here’s what you can do with Machine Learning Device Model.

Supervised machine learning algorithms predict outcomes and deliver risk scores in real time by pulling from billions of global transactions and over 80 million detailed fraud and abuse reports.

Get TruValidate Machine Learning Device Model

Adapt to changing fraud patterns

As fraud risks evolve, our machine learning algorithm continually adjusts to new threats based on insights from confirmed fraud reports.

Simple integration

Our machine learning solution complements our Device Risk technology and easily integrates with third-party platforms without the need for coding or special requirements.

Choose models best-suited to your business needs

Our industry-agnostic algorithms adapt to global fraud trends, while our more specific models are refined based on industry fraud trends.

Reduce consumer friction

Confidently identify consumers, apply step-up authentication when needed and continuously provide relevant, friction-right experiences with predictive risk scoring.

Insights and Resources

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