Thredd, a global payments processor, has introduced One View, a fraud detection solution jointly developed with Featurespace. This platform unifies monitoring for both card and non-card transactions—including account-to-account and person-to-person payments—into a single interface to enhance fraud detection and simplify operational procedures.

The integrated approach allows fraud teams to access all payment data from a unified platform instead of switching between different systems, thereby reducing investigation times and easing the burden on internal resources. Suspicious activity can still be thoroughly monitored and managed effectively.

Unified Platform for Enhanced Fraud Detection

The solution consolidates payment information across various channels, streamlining access to critical data for fraud analysis. By centralizing this information, Thredd and Featurespace aim to provide a more cohesive approach to detecting unusual patterns early on and enabling quicker responses through automated alerts.

This API-first design enables seamless implementation without requiring significant upfront training or customization. It can be adopted as an alternative to existing systems or integrated alongside other payment methods for comprehensive fraud protection.

Advanced AI and Machine Learning Technology

Underpinning One View is Featurespace’s advanced artificial intelligence and machine learning capabilities, which enable real-time identification of abnormal behaviors in transactions. Since its inception at the University of Cambridge in 2008, Featurespace has protected over 500 million consumers across more than 100 countries.

Thredd processes billions of transactions annually for over 100 fintechs, digital banks, and embedded finance providers spread across 47 countries. The collaboration between Thredd and Featurespace is expected to significantly enhance the effectiveness of fraud detection mechanisms in diverse payment environments.