Cases
Financial institutions
We identify the 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 resolution of the decision-making system.
Authentication
Reducing fraud risks using the market’s best stack of device and user’s authentication technologies and stable in time device fingerprint as well.
Flow segmentation
Filtering a high-risk flow includes detecting signs of tampering with technical parameters of device, analysing Operational System, browser and software parameters, Internet session manipulations and network environment.
Broad coverage
Reducing social frauds by means of analysing behaviour of the users coming to web resources of the financial institutions that implement our service.
High informative value
The broad data vector allows enriching loan risk models, reducing operational costs for risk assessment and increasing rate of loan product approvals via online in general.
Evaluation of the flow quality
Detection of traffic manipulations using assessment of quality and risk level of the applicants flow coming to the financial institution’s web resource.