The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

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

AI is a particularly powerful tool in the hands of fraudsters. Fraud powered by generative AI is only limited by the criminal's imagination. When it comes to preventing financial fraud, many experts ...

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

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

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 ...

Overview AI in banking boosts efficiency, productivity, and customer service with advanced automation and analytics.Financial institutions deploy AI-powered fra ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

AI brings new opportunities and risks to the financial system. Artificial intelligence software, algorithms and tools are continuously being used to improve risk management, investment management, ...

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, ...