We identify different kinds of technical and social fraud, determine segments of high and low risks, provide a broad data vector to enrich your own scoring models, and increase the resolution of your decision-making system.
Reduce fraud risks using the market’s best stack of technologies for device and user authentication technologies and stable in time device fingerprinting.
Filter high-risk flows by detecting signs of tampering with devices' technical parameters, as well as analysing operating system, browser, software, internet session and network environment.
Reduce social fraud using behavioural analysis of users accessing online financial services.
High informative value
Take advantage of broad data vector to enrich loan risk models, reduce operational costs for risk assessment, and increase loan product approvals.
Flow quality evaluation
Detect traffic manipulations by assessing the quality and risk level of the applicants who access the financial website.