The Global Online Fraud Detection Market Size is projected to grow at a CAGR of 24.2% from 2024 to 2031, according to a new ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot risky activity, protect players, and keep systems fair. It breaks down complex ...

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

FNB, Absa, Standard Bank, Nedbank and Capitec go beyond pilot projects and isolated AI experiments to large-scale deployment ...

From prompt injection to deepfake fraud, security researchers say several flaws have no known fix. Here's what to know about them.

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...

In Focus delivers deeper coverage of the political, cultural, and ideological issues shaping America. Published daily by ...

With high-stakes remote transactions occurring at scale, increasingly involving AI agents, there are countless attack surfaces, and potentially massive payoffs.