In this modern era of financial fraud detection, traditional rule-based systems are being outpaced by hybrid models that seamlessly integrate human expertise with data engineering frameworks.

The report explores how digital technologies like AI, blockchain, and automation can combat fraud, waste, and abuse (FWA) in ...

AI-powered fraud detection platform Sardine locked up a $70 million Series C after nearly doubling its customer base last ...

To successfully integrate IoT-powered AI for fraud detection in digital payments, institutions should consider a phased ...

As technology evolves, the landscape of fraud prevention is undergoing significant transformations, driven by the increasing ...

As mentioned in the update from Experian, a notable "73% agree that Generative AI (GenAI) has permanently altered the fraud ...

Fresha's proprietary AI and Machine Learning technology has reduced fraud by an incredible 99%, preventing fraudulent ...

Government has been employing AI to analyse vast data sets, detect anomalies, and flag potential cases of tax evasion.

What is deep learning? Deep learning is a type of machine learning that uses deep neural networks with multiple layers—often hundreds or thousands—to process data and make dec ...

To utilize the full potential of machine learning for business in 2025, you need a clear, actionable plan that addresses the ...

The final UK Government guidance on failure to prevent fraud has now been published Economic Crime and Corporate Transparency Act 2023: Guidance ...

Feed, a leading market data solutions and index management provider for the global financial industry, launched dxFeed Grenadier, a novel tool designed to deliver real-time inference of market ...