Learn how AI fraud detection protects iGaming platforms from bonus abuse, account takeovers, payment fraud, and AML risks.

Key market opportunities in explainable AI for banking include growing demand for compliance and regulatory trust, expanding ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

FIS is using AI and machine learning in new ways to speed up detection of emerging types of payment card fraud while reducing false positives. Banks rely on highly responsive fraud filters to alert ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

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Visa used generative AI to add a product that alerts banks in a millisecond to enumerated attacks putting payment account numbers at risk. Fraudsters are using generative AI to accelerate certain ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. Today, we’re announcing the next version: Ti2. From the start, the Trust ...

Jul. 28, 2025 / PRZen / SAN FRANCISCO — Bynn Intelligence, the undisputed leader in identity verification and document fraud detection, today announced the strategic acquisition of the Swedish pioneer ...