With attacks coming from every angle, fraud detection is critical in today’s world. Companies employ an arsenal of defenses, including rules engines, machine learning models, and ID verification, but which methods make sense?
In this paper, we discuss the benefits and limitations of each. He will also explain how fraud detection has evolved to include unsupervised analytics, the latest in preventative fraud detection.
