Payment processor Thredd this week announced the introduction of One View, a fraud solution developed in collaboration with global fraud and financial crime detection firm Featurespace (a Visa solution). The solution enables card transactions and non-card payments to be intelligently monitored under one network-agnostic interface and rules engine to boost fraud detection.
One View was developed to bring together card and non-card payment data, like account-to-account (A2A) payments and person-to-person (P2P) payments, into a single interface, providing a full view of customer behavior and enabling more effective fraud detection while reducing related workloads.
According to the companies, the solution eliminates the need for fraud analysts to log into separate systems for cards and payments. Instead, fraud teams get a unified interface with consistent workflows and logic, streamlining investigation, reducing toggling, and cutting resolution times – ultimately leading to better coverage with less strain on internal resources.
“For the first time, fintechs, banks, and other organizations involved in payments processing can benefit from streamlined processes which enable them to fully utilize payment data to boost fraud detection and make the world a safer place to transact,” said Jason Blackhurst, global head of Featurespace and acceptance risk solutions at Visa. “Clients choosing the new solution also benefit from Thredd’s differentiated expertise and in-house services in integrating and optimizing the solution.”
“Now fraud teams can spot unusual behavior patterns that might not be flagged in isolated systems, and choose to equip themselves with self-resolving alerts that can be sent directly to customers, enabling them to approve or decline transactions themselves,” said Anthony Gudgeon, head of fraud operations of Thredd. “As a result, clients reduce their customer service workload and can eliminate the need for 24/7 manual monitoring.”
According to Thredd and Featurespace, the API-first, plug-and-play solution allows clients to go live quickly and see immediate value without upfront training. The solution can also be deployed to replace legacy fraud solutions or as an augmentation layer across both cards and payments, balancing fraud detection with customer experience, helping to minimize false positives and improve detection rates.
Featurespace provides solutions using AI and machine learning to help banks and financial institutions crack down on fraud. Featurespace’s ARIC Risk Hub adapts in real-time to accurately identify abnormal behavior, minimize errors and locate them at speed. Since Featurespace’s inception at the University of Cambridge in 2008, the company’s technology has helped protect more than 500 million consumers globally in 100-plus countries.