Remove Deepfake Remove Fraud Detection Remove Phishing
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The PSR’s new fraud refund rules: A step forward, but is it enough?

The Payments Association

According to the Payment Systems Regulator (PSR) , the volume of APP fraud cases rose by 12% last year. This increase was driven by fraudsters leveraging sophisticated techniques, such as fraud networks, phishing scams and AI-generated deepfakes, to trick victims into authorising payments.

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Em Conversa: Fighting AI Fraud With AI With Lynx Tech

The Fintech Times

Fraudsters are leveraging artificial intelligence (AI) tools like voice cloning and deepfakes to create highly convincing fake audio or video messages to deceive victims into transferring money or revealing sensitive information. How do the Latin American AI and anti-fraud sectors compare to that of the rest of the world?

AI 59
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Balancing AI’s Benefits and Threats Across Fraud and Cybersecurity

Seon

These advancements have changed the way we approach cybersecurity and fraud detection. AI’s capabilities, like machine learning algorithms, are being trained to identify and exploit vulnerabilities, automate phishing attacks and bypass traditional security measures. Learn More Sources : 1.

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Traditional Fraud Prevention Measures Aren’t Enough

Seon

Historically, companies have resorted to a patchwork of point solutions and variegated tools across a fraud-fighting tech stack, leading to fragmented data and operational inefficiencies from switching from one solution to the subsequent and obfuscated risk views.

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Leveraging AI & Innovative Tech to Combat Emerging Complex Fraud Schemes

Seon

Other AI applications include enhancements to traditional scams, such as phishing and social engineering attacks. Real-Time Insights through AI To combat AI-generated fraud, organizations must assume a multifaceted approach integrating the same advanced technologies bad actors use to deploy attacks quickly and scale.

AI 52
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Payments 2024: Predictions With Brightwell, 40Seas, Wink, ConnectPay, Swipesum, Paystrax

The Fintech Times

First is an expected uptick in utilising AI for more complex processes, like data analysis and fraud detection. “With new technology, however, comes elevated risks, which will lead financial institutions to adapt their strategies to counter these issues such as new types of fraud, deepfakes and advanced phishing schemes.