8. Conclusion and outlook

Artificial intelligence in the fight against fraud is a means of strengthening incident detection and response capacity as part of anti-fraud strategies. Such an approach presupposes a clear definition of business security objectives, in terms of both processes and the fraud risks to be covered. It also requires an in-depth look at the current and desired organization of a company moving towards this type of approach.

The evolution of artificial intelligence means that we can expect to see significant changes in fraud detection in the years to come. Today, AI and machine learning are already being used to analyze billions of transactions in real time, identify abnormal behavior and prevent potential fraud, not only in banking, insurance, desktop publishing and supplier flow management, but also in customer relationship management (particularly for high-risk customers)....