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Thredd has announced the launch of One View, a fraud detection solution developed in partnership with Featurespace, a Visa company specialising in financial crime detection.
The new system enables both card and non-card payments to be monitored under a single, network-agnostic interface and rules engine to enhance fraud detection efficiency.
One View consolidates card and non-card payment data, including account-to-account (A2A) and person-to-person (P2P) transactions, into one interface.
This provides a more comprehensive view of customer behaviour, allowing for more effective fraud detection while reducing operational workloads.
The companies said the solution removes the need for fraud analysts to work across separate systems for different payment types.
Instead, it offers a unified interface with consistent workflows and logic, simplifying investigations, reducing time spent switching between systems, and speeding up case resolution.
Jason Blackhurst
“For the first time, fintechs, banks, and other organisations involved in payments processing can benefit from streamlined processes that enable them to fully utilise 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 expertise and in-house services in integrating and optimising the system.”
Anthony Gudgeon
“Now fraud teams can spot unusual behaviour 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,”
added Anthony Gudgeon, Head of Fraud Operations at Thredd.
“As a result, clients reduce their customer service workload and can remove the need for 24/7 manual monitoring.”
According to Thredd and Featurespace, the API-first, plug-and-play solution allows clients to deploy quickly and achieve results without extensive training.
It can be implemented as a replacement for existing fraud systems or as an additional layer across card and payment channels, aiming to balance fraud prevention with customer experience while reducing false positives.
Featured image credit: Edited by Fintech News Singapore, based on image by digitizesc via Freepik
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