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In 2024, 87% of payments businesses reported a surge in online fraud, while the Global eCommerce Payments and Fraud Report identified loyalty fraud as one of the fastest-growing fraud types worldwide. Runa Assure safeguards the entire payouts journey so businesses can protect their recipients, revenue, and reputation.
The number of facilities looking for alternatives has doubled since 2018, with 17 percent utilizing MFA to better protect against fraud. The need for newer, stringent authentication comes as call centers — especially those for banks and other financial services — are getting hit with increasingly sophisticated fraud.
They often accomplish this by obtaining the victim’s login credentials through phishing emails, malware, or other fraudulent means. Once inside the account, the fraudster may withdraw funds, change account information, or use it to perpetrate further fraud. Educating customers can empower them to be more vigilant.
Multi-factor authentication (MFA) adds additional layers of security by requiring additional verification during the transaction process. Many people use MFA when making purchases through Apple Pay, for example, using Face ID or a passcode to complete a purchase. Fraud and chargebacks also cause significant losses for businesses.
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.
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.
Identity theft: Scammers can commit identity theft by using methods like phishing and vishing to impersonate genuine users. Fraud rings: Fraud rings are organized groups of fraudsters with access to more resources than individual hackers. We’ve helped by listing some simple tips to share with your customers.
AiTM attacks work by intercepting communication between a user and a legitimate service through phishing techniques. In an AiTM attack, the attacker typically sends a phishing email with a link that directs the victim to a fake login page (redirector or AiTM phishing page) designed to look like a legitimate service.
As payment systems become more digitised and interconnected, the attack surface expands, and the stakes for payments firms to invest in robust, AI-driven frauddetection and prevention systems have never been higher. fingerprints, facial recognition), and behavioural biometrics (e.g., keystroke dynamics or mouse movements).
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