BugFraud is an expert solution to prevent online banking fraud as it detects all fraud use cases, including unknown malware. It creates a unique profile for each user by gathering thousands of parameters relating to their behavioral biometric, environmental, and device information. The solution uses deep learning to analyze anomalies and detect fraudulent threats involving identity theft or customer manipulation across the entire banking session, and therefore detecting malware on the device. The way we have integrated the product is transparent for the users and enhances their customer experience. Information is available via API and a web management console to receive alerts and risk scores per session in real time. The GUI has a lot of information about the sessions and all the alerts that it has had. Buguroo is continuously evolving and releasing improvements that make the product and the detection of anomalies and fraudster behaviors more accurate and better. Review collected by and hosted on G2.com.

The product needs to be fine-tuned and customized for our needs before it reaches its higher fraud detection rate and lower F/P Ratio. Also, the retention period should be increased, thus it has led to some late detection, as alerts can only be consulted via GUI. Review collected by and hosted on G2.com.