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COINTURK FINANCE > Business > How Will AI Help Banks Combat Payment Scams?
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How Will AI Help Banks Combat Payment Scams?

Overview

  • Mastercard updates its Consumer Fraud Risk solution to tackle payment scams.

  • AI enhancements aid British banks in detecting and preventing fraudulent transactions.

  • Initiative aligns with new U.K. rules on compensating fraud victims.

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Mastercard (NYSE:MA) has introduced updates to its Consumer Fraud Risk (CFR) solution to counteract real-time payment scams. Utilizing advanced artificial intelligence, the company aims to provide British banks with enhanced tools to identify and halt fraudulent transactions. This initiative arrives as the U.K. prepares for new regulations mandating financial institutions reimburse victims of authorized push payment (APP) fraud. As digital transactions become increasingly central to daily life, the emphasis on robust fraud prevention measures grows, highlighting the significance of Mastercard’s recent advancements.

Contents
What Led to Mastercard’s New Approach?How Effective Are AI Enhancements?

What Led to Mastercard’s New Approach?

In recent years, schemes involving fictitious websites, emails, and phone calls have led to significant financial losses among British consumers, tallying up to $607 million in 2023 alone. Mastercard has responded by enhancing its technology, providing additional protective measures for banks.

“Fraudsters have long sought to deceive the consumer through scam websites and fictitious deals,” said Mastercard Executive Vice President, Security Solutions Johan Gerber.

Collaboration with banks is crucial, as the company’s new tool can scan multiple data points to produce a real-time risk score for transactions, assisting in identifying potential scams effectively.

How Effective Are AI Enhancements?

The Consumer Fraud Risk solution employs AI to deliver instant risk assessments to both sending and receiving banks, allowing them to detect transactions potentially intended for mule accounts. Since its initial launch, the tool has enabled 11 British banks to successfully intercept fraudulent activities. The company aims for global expansion of these fraud-prevention techniques, striving to bolster security measures in real-time payment systems worldwide.

Historically, companies and financial institutions have increasingly turned to AI and machine learning to upgrade their fraud detection capabilities. A significant portion of payment professionals view AI as a key component in enhancing fraud detection. Moreover, AI’s predictive analytics and real-time alerts have revolutionized how suspicious activities are monitored, aligning with the growing consumer expectation for improved fraud prevention strategies.

AI is not only used for fraud prevention but also for personalized customer services and operational efficiency. Its ability to offer prompt alerts about potential threats underscores the importance of adopting AI-driven methods, especially as consumer reliance on digital transactions continues to expand.

The growing demand for AI-based fraud detection signifies a shift in the financial landscape, where consumers expect their banks to employ advanced technologies for securing transactions. Mastercard’s recent enhancements reflect this shift, indicating a broader movement towards integrating AI into financial services for heightened security.

While Mastercard’s updated AI solutions provide a sophisticated approach to combat APP fraud, the broader implication is a significant move towards leveraging technology for secure financial interactions. This approach aligns with the increasing appreciation of AI’s capabilities in securing transactions and addressing evolving financial threats. Institutions that adapt to these technologies are better positioned to maintain consumer trust and fortify their transaction processes against fraudulent activities.

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Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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