EPE Global (AI-VR): The Future of Artificial Intelligence Merging With Virtual Reality

Assess your fraud challenges and develop a customized fraud detection model that keeps your data protected from potential threats. Get a well-designed platform of highly predictive data assets intended to proactively prevent fraudulent activities. 

Fraud risk analytics includes device intelligence services that help keep a check on fraudulent activities by providing you with real-time device risk insights. Monitor your platforms for fraud and build a secure environment for your customers with our device risk fraud analytics services. We help you identify threats by determining anomalies, risk indicators, and evasion techniques. 

Get crucial insights and unravel user behavior to identify anomalies and unusual user behavior with real-time user screening. This offers real-time transaction details and monitors incoming data. One of the advantages of real-time screening is that it saves you the time otherwise involved in reviewing every order manually. 

Synthetic fraud involves creating a new identity through a combination of fake and factual information. Our synthetic fraud model helps you differentiate genuine customers from synthetic identities, flag the latter proactively, and seek further authentication. 

Leverage predictive fraud analytics services that uses machine learning technology to identify even subtle fraud alerts. This also helps you identify identity threats, chargeback fraud, affiliate fraud, account theft, and more and take the right authentication decisions. 

We also leverage big data technology, which can prove extremely useful when your organization deals with huge volumes of behavioral, transactional, and device data. We can help you with the analysis of all this data using big data analysis techniques to ensure there are minimal to no chances of financial fraud.