As fraudsters become smart, enterprises need to become smarter. The traditional rule-based mechanisms for deterring fraud fall short of the ability of the perpetrators. A hybrid method that comprises a heady mix of supervised and unsupervised learning methods in Artificial Learning (AI) / Machine Learning (ML) helps to effectively identify potential fraud cases in near-real time.
