“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from ...

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 ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

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, ...

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

He explained that advanced Artificial Intelligence (AI) systems can analyse historical data, detect unusual patterns and flag suspicious filings—such as companies consistently keeping revenue just ...

Shift Technology and EXL recently announced a collaboration to develop a national data analytics fraud detection and investigations platform for the Australian insurance industry, working alongside ...

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

A Technology and data analytics specialist, Olatoye Agboola, has called for the adoption of Artificial Intelligence-powered fraud detection and biometric Know Your Customer tools by Nigerian digital ...