Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Overview: AI-powered fraud detection tools are rapidly being adopted by banks and fintechs to block scams and reduce losses.New platforms combine machine learni ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

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 ...

Michigan State University Federal Credit Union avoided $2.57 million in fraud exposure through blocking AI deepfake fraud calls with Pinpoint products.

The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

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 ...

Discover the 7 best fraud detection systems for enterprises in 2025. Learn about their features, pricing, and how they help combat digital and identity fraud in the ever-evolving threat landscape.

Research predicted that hacks and data breaches will cost the global economy over $9.5 trillion by the end of 2024. This comes as fraud attempts and phishing attacks are increasing and getting more ...