A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...
Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
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 ...
Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...
When customers are targeted directly in scams that are invisible to a bank, artificial intelligence, and in some cases generative AI, can play a role in fighting the fraud, experts say. Last week, New ...
Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...
A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...
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, ...
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