Deepfake Fraud Detection Rules 
Finextra
JUNE 25, 2025
Real-Time Fraud Detection: Defence at Machine Speed Traditional fraud systems rely on static rules and after-the-fact analysis. But fraud doesn’t wait, and neither can protection. Adapting instantly to changes in global sanctions or reporting rules. We use cookies to help us to deliver our services.
The Payments Association
DECEMBER 10, 2024
This is evidenced by the fact that payment card fraud alone is projected to increase by over $10 billion between 2022 and 2028, according to the data. These tools leverage machine learning algorithms to continuously learn and adapt, enabling them to spot evolving fraud tactics that may otherwise go undetected by static rule-based systems.
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The Payments Association
DECEMBER 9, 2024
The dual impact of generative AI on payment security, highlighting its potential to enhance fraud detection while posing significant data privacy risks. From fraud detection to customer support, AI-driven solutions are revolutionising how payments are processed and safeguarded. What is this article about?
The Payments Association
JULY 15, 2025
Modern fraud prevention extends beyond loss mitigation itself. John Hamilton Co-founder, ChargebackStop "As deepfakes, evolving regulations, and cloud-native security converge, digital businesses must rethink risk with zero-trust frameworks, real-time threat intelligence, and strong AI governance.
The Payments Association
JUNE 11, 2025
This scale of first-party fraud highlights how traditional fraud detection methods struggle to distinguish between legitimate customer accounts and those engaging in fraudulent behaviour. AI-driven scams leverage sophisticated attacks from phishing emails to deepfake videos and voice impersonations.
The Payments Association
JUNE 16, 2025
Meanwhile, fraud techniques have continued to evolve at pace. In the past five years, the UK has seen a sharp increase in the sophistication of APP fraud, driven by innovations such as deepfake technology, real-time payment abuse, and social engineering. One of the most significant changes lies in how APP fraud is now defined.
The Fintech Times
MARCH 14, 2025
Within wider AI-driven topics fraud detection was an interesting one, in the session Dealing with AI, Fighting on both sides of Financial Fraud, experts discussed the dual role of AI, both as a weapon for fraudsters and a defence mechanism for financial institutions. Thats the problem. Her words landed with weight.
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