Reduce back office expenses, lengthy review queues, false positives and costly authentication step-ups by identifying worthy transactions.
Distinguish between risky and trustworthy transactions with predictive machine learning that detects subtle trends.
Confidently identify new customers and treat them like well-known VIPs with predictive, machine learning-based insights.
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
As fraud risks evolve, our machine learning algorithm continually adjusts to new threats based on insights from confirmed fraud reports.
Our machine learning solution complements our Device Risk technology and easily integrates with third-party platforms without the need for coding or special requirements.
Our industry-agnostic algorithms adapt to global fraud trends, while our more specific models are refined based on industry fraud trends.
Confidently identify consumers, apply step-up authentication when needed and continuously provide relevant, friction-right experiences with predictive risk scoring.