Remove Fraud Detection Remove Fraud Prevention Remove Phishing
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Leveraging Machine Learning to Reinforce Financial Fraud Prevention

Fi911

In finance, AI’s role is becoming increasingly pivotal, particularly in fraud prevention and management. As digital banking services grow in popularity, the unfortunate byproduct is a corresponding rise in fraud. As integral players in the payment ecosystem, banks must focus on chargeback prevention and mitigation.

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Traditional Fraud Prevention Measures Aren’t Enough

Seon

across age groups and income brackets, the volume of digital activities and transactions are on the rise – and effective fraud prevention measures have never been more critical to safeguard a business’s bottom line. The global market for fraud detection and prevention solutions is expected to reach over $50 billion this year.

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What is eCommerce Fraud?

Fi911

This type of fraud can take various forms, including identity theft, chargeback fraud, and phishing attacks. How Big of a Problem is eCommerce Fraud? This makes it imperative for businesses to stay ahead with robust fraud detection and prevention strategies.

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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

Latin America also saw a staggering 617 per cent increase in phishing attacks in 2023, with cyber criminals using AI to craft more realistic and targeted phishing emails. Brazil and Mexico were the most affected, recording millions of phishing attempts aimed at stealing financial data and credentials.

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What Is Account Takeover Fraud (ATO)? Detection & Prevention

Seon

There are many paths to successful ATO fraud. This could be accidental, or more sophisticated, for example following a mass phishing email campaign. To target these accounts, fraudsters often rely on spear-phishing techniques (targeted phishing), or SIM-Swapping attacks.

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Leveraging AI & Innovative Tech to Combat Emerging Complex Fraud Schemes

Seon

As a result, organizations face large volumes of fraudulent data, necessitating heightened vigilance and advanced detection methods to protect themselves – and their customers or users. Other AI applications include enhancements to traditional scams, such as phishing and social engineering attacks.

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