This solution is ideal for environments with strong authentication methods in which it is necessary to provide a model of behavior analysis through user generated rules complement.More info
What is Fraud Analysis VU?
This module generates user profiles based on the information provided by the core client. The solution works in the form of WebServices / REST / SOAP receiving and processing information. This module can be customized to suit the client requests Fields evaluate and detection rules can be customized from the administration console of the solution through logical operators defined on the whole, in addition to a knowledge base generated in function transactional history held by the company.
How VU Fraud Analysis work?
Based on the storage and processing of information as amounts, transaction date, transaction type, operating frequency and user login data, the system identifies possible cases of fraud or suspicious behavior and can either alert passively shaped form active firing process custom strong authentication for that user profile. The default product allows you to receive information via WebServices different fields and add value to each in order to reach a "threshold" to indicate a fraudulent transaction.
Channels and media in which they can avail the platform:
Operating Channels: VU Fraud Analysis can identify the different channels of receiving information in order to evaluate the behavior of each user. The number of channels does not have a preset limit and can be customized according to the preferences of each company.
Behavioral profiling: the solution stores the transaction history of each user and generates a unique profile. Based on this information it is capable of calculating the deviation threshold with a higher efficiency than 95%.
Device Information: transact when each device leaves its virtual digital finger prints, either by browser type, or operating system ipaddress, VU Fraud analysis can collect and compare this information against its database of trusted devices.
Geo location: the solution interact with each channel and allows co-relate the information giving the possibility to evaluate safe areas, distances traveled between an operation and another, evaluating the physical feasibility of the same, in addition to the safety issues associated with each area geographic.
Categories of operation: depending on the information collected by channels, the system can generate risk categories, which bring the total level related to the operation of the user. For example, a user does not run the same risk in a transfer to a third party account associated with your account, that payment of a credit card abroad.
VU Labs: our team periodically updates the lists of patterns with fraud prevention rules, s ip banned and known fraudulent sites. Through these efforts, it aims to minimize management tasks by the company.
Critical transactions: this information is collected in order to raise the level of detection of fraudulent transactions. They can be identified based on different features such as date, amount, destination account.
Transactions not critical: at each access to online systems transactions are not always, sometimes simply are balance inquiries, information or changing settings. These data are extremely valuable, as they allow us to collect profile information for each user.