Artificial Intelligence and machine learning in fraud detection for digital payments

The financial sector has adopted artificial intelligence (AI) and machine learning (ML) for more advanced and real-time fraud detection as a result of the increased threat of fraud brought on by the global surge in digital payments. By using sophisticated algorithms like supervised learning, anomaly detection, and deep neural networks, these technologies allow systems to identify irregularities, adjust to new fraud patterns, and lower false positives. AI-driven systems are widely used by fintechs and neobanks in the US, Germany, and the EU. However, they also face issues with data quality, model transparency, and regulatory compliance, which calls for a careful balancing act between ethical oversight and technical solutions.