Machine Learning Device Model

Evaluate every transaction’s risk.

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Machine Learning Device Model features

Here’s what you get with Machine Learning Device Model

Supervised machine learning algorithms evaluate outcomes and deliver risk scores in real time, pulling from billions of global transactions and 80M+ detailed fraud and abuse reports.

Get TruValidate Machine Learning Device Model

Adapt to changing fraud patterns

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

Simple integration

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

Models to fit evolving business needs

Our global machine learning model provides industry-agnostic algorithms that adapt to global fraud trends.

Reduce consumer friction

Provide a friction-right experience at the right time, using predictive risk scoring. Enabling you to confidently identify customers and apply step-up authentication when needed.

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