Advances in GPUs and high-performance compute now enable real-time fraud-detection that analyzes a customer’s entire transaction history instead of relying on static profiles.

The critical question for financial institutions is whether their AI is built to address today’s threat landscape and the anticipated future landscape, not just adopted in a generic way.

Purpose-built generative AI and advanced compute are essential for effective fraud prevention as fraud evolves with technology, affecting about 87.5 million American adults who experience scams each year.

The viewpoint comes from the Chief Analytics Officer at FICO, highlighting an industry perspective on AI and analytics in fighting financial crime.

Traditional fraud detection relied on behavioral profiles and isolated transactions, which limited what could be computed and often lagged behind evolving threats.

Modern approaches reduce false positives by enabling real-time, history-spanning analysis, leading to fewer legitimate transactions being misflagged and stronger customer trust.