Machine Learning Device Model
Predict every transaction’s risk.
More Information
Reduce back office expenses, review queues, false positives and costly authentication step-ups by identifying worthy transactions.
Distinguish between risky and trustworthy transactions with predictive machine learning that identifies subtle trends.
Confidently identify and treat new customers like well-known VIPs with predictive, machine learning-based insights.
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 TruValidateAdapt 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 without the need for coding or special requirements, and easily integrates with third-party platforms.
Models to fit all business needs
Industry-agnostic algorithms adapt to global fraud trends, while specific models are refined to the fraud trends of your particular industry.
Reduce consumer friction
Confidently identify consumers, apply step-up authentication when needed, and continuously provide relevant, friction-right experiences with predictive risk scoring.
