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 get with Machine Learning Device Model.
Supervised machine learning algorithms predict outcomes and deliver risk scores in real time, pulling from billions of global transactions and 80M+ detailed fraud and abuse reports.
Get IDVision with iovationSimple 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.
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.
Models to fit all business needs
Our machine learning model provides industry agnostic algorithms that adapt to global fraud trends, while our industry-specific models refine to the fraud trends of your particular industry.
Adapt to changing fraud patterns
As new fraud risks emerge, our machine learning algorithm continually adjusts to new threats based on insights from confirmed fraud reports.
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