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The growing threat of AI-enabled fraud

Neopay

Fraudsters are exploiting GenAI tools such as large language models (LLMs), voice cloning, and deepfakes to carry out increasingly sophisticated scams that are harder to detect and prevent. Romance fraud: Deepfake images and videos help fraudsters create convincing personas to manipulate victims emotionally and financially.

AI 59
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AI x Payments: From Fraud Detection to Hyperpersonalised Checkout

Finextra

Behavioural biometrics distinguish real users from bots or synthetic identities. From voice cloning to deepfake merchant scams, the threat landscape is evolving. It spots anomalies before a threat becomes a breach. Predictive analytics identify emerging fraud patterns. Machine learning models adapt on the fly.

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Automated Bot Attacks Surge on Social Media in 2024, AU10TIX Reveals

The Fintech Times

Automated bot attacks on social media surged dramatically in the second quarter of 2024, according to AU10TIX ’s latest Global Identity Fraud Report. This rise highlights growing concerns about the ability of social media platforms to detect and combat organised fraud, particularly as bots become more sophisticated.

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Deepfake Disruption in Financial Services

Trade Credit & Liquidity Management

As financial institutions navigate a rapidly digitizing landscape, the rise of AI-generated deepfakes is no longer a fringe concern—it’s a growing enterprise risk. “Deepfake technology has emerged as both a marvel and a menace,” continued Miyachi.

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Sumsub Combats Fraud Networks in APAC With Upgraded Solution

Fintech News

This tool is designed to help businesses tackle fraud rings, account takeovers, chargeback fraud, and bot attacks. In Myanmar and other Southeast Asian countries, cyber scam rings target victims with fraudulent schemes like fake jobs or investments. The damage of fraud rings is much more significant than that of individual scammers.

APACS 109
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Top 5 fraud trends affecting high-risk merchants in 2025

The Payments Association

From AI-driven scams to rising chargeback rates, the challenges are growing more complex and costly. 1) AI-driven fraud and deepfakes Fraudsters are increasingly leveraging Artificial Intelligence (AI) to conduct highly convincing scams. As we navigate through 2025, high-risk merchants face a rapidly evolving fraud landscape.

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AI in payments: The battle against fraud’s evolving threat

The Payments Association

The panellists described a troubling evolution: traditional scams being supercharged by artificial intelligence. “Real-time deepfakes have moved beyond theoretical concerns,” explained David Sutton, chief innovation officer at Featurespace.

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