How Financial Institutions Should Choose the Right Agentic AI ModelsAccording to PYMNTS Intelligence, 71% of financial institutions now use AI and machine learning for fraud detection — up from 66% in 2023. Five phases of an AI fraud detection lifecycleThe lifecycle is a multi-layered defense. Strict regulatory requirements require financial institutions to keep humans in at least part of the fraud detection process. Turning Fraud Prevention into Digital ValueBanking and financial institutions are moving toward a proven approach to fraud detection, and it is human-in-the-loop. They can ensure their AI fraud detection systems align with new and evolving threats safely and securely to satisfy both their customers and government regulators.