How AI Improves Fraud Detection Accuracy

Rule-based fraud detection catches known patterns but struggles against new fraud tactics that do not match any existing rule.

AI models trained on historical transaction data can flag subtler combinations of signals, like unusual purchase timing combined with a new shipping address, that a simple rule would miss.

We typically combine both approaches, using rules for clear-cut cases and AI scoring for the ambiguous middle ground that needs human review.