VU™ Fraud AnalysisDatasheet

It is an omnichannel solution that uses machine learning to create smart profiles for the users in order to detect potentially fraudulent operations based on the user’s behavior.

• Collects digital fingerprints and compares them against its own base.

• Set ups rules about the operations to classify them according to their potential risk level.

• Receives information from di�erent channels and does not require technical knowledge to manage it.

• Evaluates secure zones for each user based on its path, operations’ times and the device’s geolocation.

Features:

Logic operating diagram

RESTAPI

WSDL

Web Manager

Core

Fingerprint

Analyze

Analyze Event

Check Fingerprint

Update Fingerprint

Get user by

Fingerprint

Validate Fingerprint

Add Fingerprint

Machine Learning

Rules

List

Device Fingerprints

Geolocation

What is it?

VU™ Fraud Analysis

In order to improve the deployment experience, VU™ delivers a manual with examples of use for each function, to facilitate the transfer to real deployment scenery and generate the needed conditions to maintain the product’s security and integrity.

The SDK can be integrated in:

Device Fingerpint SDK

• Registration.

• Authentication.

• Android. VU™ delivers a project developed in Android Studio with the SDK in Android Archive format already integrated, which can be copied and integrated to the client’s project from the libs directory. As an additional option and if the client requires it, VU™ can deliver a Java Archive.

• iOS. VU™ delivers an Objective-C project developed in Xcode that includes the SDK library in .a format for all the iOS architectures available.

• Web or hibrid environments. VU™ delivers an HTML web that uses the SDK developed in JavaScript alongside with its required dependencies.

VU™ o�ers the possibility of integrating the Device Fingerprint functionality to the existent applitations of the client or third parties. The device fingerprint of the device used to make operations is quite important to detect fraud.

The SDK includes all the required methods to integrate the funcionality:

Technical information

VU™ Fraud Analysis

Integration APIThe infrastructure is designed to integrate with any other platform, no matter the language, through API REST or SOAP services. The communicatioin between that server and the presentation layers is made through an SSL/ TLS connection.

The methods that compose the applicatioin are identified with functionalities destined to the administrative management for final users. These allow to:

• Analyze transactions and events.

• Add a fingerprint to a user.

• Establish a user’s fingerprint as valid.

• Validate a user’s fingerprint.

• Obtain a user through a fingerprint.

So�ware requirements and compatibility

Database

PostgreSQL 9 or higher (*) MS SQL 2008 or higherOracle

Operative System

Centos 7 or higher (*)Ubuntu 14.04 or higher (*) Red HatWindows Ser ver

App Server

Tomcat

TerminalsCompatibility

iOS Android

Java

Java 1.8

*Recommended

VU™ Fraud Analysis

*Estimations made contemplating high-availability functioning.

Main Stage Secondary Stage

Number ofusers Processor Memory Processor Memory Transactions

per secondLOG

Storage

1 to 10.000 8 processingthreads

6 GB RAM 8 processingthreads

6 GB RAM 16 178 GB - HD

10.000 to 50.000

16 processingthreads

8 GB RAM 16 processingthreads

8 GB RAM 32 980 GB - HD

50.000to 100.000

32 processingthreads

16 GB RAM 32 processingthreads

16 GB RAM 64 4,4 TB - HD

100.000to 250.000

64 processingthreads

32 GB RAM 64 processingthreads

32 GB RAM 128 6,3 TB - HD

250.000to 1.000.000

128 processingthreads

64 GB RAM 128 processingthreads

64 GB RAM 256 24 TB - HD

Hardware dimensioning*

VU™ Fraud Analysis