WizRule

Fraud.com's aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud & improve customer trust. The detection layer analyses your transactional data in real-time to deliver unmatched risk-scoring accuracy. The multi-layer defence identifies suspicious transactions using our adaptive machine learning algorithms, adaptive rules & next-generational behavioural engine to create hyper granular profiles for every individual to identify abnormal behaviour. aiReflex's Response layer manages fraud centrally via an omnichannel case manager, automating tasks & decision-making to reduce fraud, friction & fraud team inefficiencies. Investigators become superheroes with a 360-degree view of the customer and explainable AI to manage a case with great accuracy & speed, with intelligent search, reporting, queue management & link analysis. Contact us at fraud.com to learn how we can improve your fraud defences.

WizWhy determines how the values of one field in the data are affected by the values of other fields. The system performs its analysis based on one field selected by the user as the dependent variable, while the other fields are the independent variables (or conditions). The dependent variable can be analyzed as either Boolean or continuous. The user can fine-tune the analysis by defining parameters such as the minimum probability of the rules, the minimum number of cases in each rule and the cost of a miss vs. the cost of false alarm. WizWhy reveals and lists the rules that relate between the dependent variable and other fields (conditions). The rules are formulated as if-then and if-and-only-if statements. On the basis of the discovered rules WizWhy points out the main patterns, the unexpected rules (interesting phenomena) and the unexpected cases in the data. WizWhy can issue predictions for new cases on the basis of the discovered rules.