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Swift to Launch AI-Powered Fraud Detection in 2025

Fintech News

Swift is also testing fraud detection use cases in a sandbox environment. Additionally, Swift is exploring the use of federated learning, a privacy-preserving AI technique, to allow banks to share information securely and improve fraud detection models collaboratively.

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Visa to Acquire AI Fraud Detection Firm Featurespace

Fintech News

Payment giant Visa is set to acquire Featurespace, a company specialising in artificial intelligence (AI) technology for real-time payments fraud protection. The acquisition aims to bolster Visa’s fraud detection and risk management capabilities, which are used globally by financial institutions and businesses to safeguard transactions.

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Mastercard supercharges fraud detection with GenAI

Finextra

Mastercard is turbocharging its fraud detection technology with generative AI that can scan a trillion data points to predict whether a transaction is likely to be genuine or not.

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Swift Unveils AI-Enhanced Fraud Detection to Bolster Global Financial Industry Defences

The Fintech Times

Swift , the secure financial messaging service provider, is rolling out new AI-enhanced fraud detection to help the global payments industry improve its defence as bad actors become increasingly sophisticated.

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Podcast: AI, RPA, fraud detection, data sharing enhancements in 2024

Bank Automation

In 2024, financial institutions can look to even more developments in AI, robotic process automation (RPA), fraud detection and data sharing technologies to set themselves up for digital success, technology platform […]

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Pay.UK hails fraud detection pilot results

Finextra

says a fraud detection pilot involving Visa has exceed expectations, suggesting that it could save the country's economy over £112 million a year.

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The Evolution of Fraud Detection

Finextra

Join FinextraTV in discussion with Megan Heald, Senior Product Manager at NICE Actimize, at NextGen Nordics 2024 as we explore how innovation and regulation have sculpted the anti-fraud landscape over the past two decades, contrast the present state of fraud detection with past approaches, and glean essential insights from future trends and strategies (..)