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

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, ...

Artificial intelligence (AI) is changing how digital gaming platforms operate, enhancing user experiences and improving ...

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.

As we anticipate the year 2026, it is clear that AI will be a driving force behind profit growth for credit card operators and retailers. By enhancing fraud detection, optimizing inventory, and ...

Senators Shelley Moore Capito and Amy Klobuchar have moved to confront one of the fastest growing consumer threats of the ...

Overview:  AI is transforming finance, but ethical challenges around bias and fairness remain unresolved across institutions.Algorithmic decisions in lendi ...

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

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

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, ...

Discover how AI-driven anomaly detection safeguards post-quantum context streams in Model Context Protocol (MCP) environments, ensuring robust security for AI infrastructure against future threats.