Innovations in AI have allowed AI software to detect potential fraudulent threats before an attempt to defraud is made. Using algorithms and deep-learning models, AI can identify behaviors linked to ex-ante fraudulent actions. AI uses risk potential analysis and historical data analysis to understand when fraud is likely, and who is likely to attempt it.

Using data analysis technologies, AI reviews past and present data patterns to develop a risk analysis for a potential client in minutes. It can then generate reports explaining the risk potential score, and detail client risk factors. The model can be trained and designed based on company-specific needs and allowable levels of risk. It can do all of this at the click of a mouse, and automation can be applied to keep a constantly updated risk analysis at the user’s fingertips.