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Fraud Prevention

Differentials Benefits Features

Fraud Prevention

Prevents identity theft and fraudulent transactions

Differentials Benefits Features

CIAM vertical comprising Fraud Analysis and Device Fingerprint products. It detects fraud in multichannel mode, using Mpredictive system to create smart profiles and alert when a transaction falls outside the usual parameters. In addition, it identifies the devices of users connecting to an online system by collecting technical data and properties.

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CIAM vertical comprising Fraud Analysis and Device Fingerprint products. It detects fraud in multichannel mode, using Mpredictive system to create smart profiles and alert when a transaction falls outside the usual parameters. In addition, it identifies the devices of users connecting to an online system by collecting technical data and properties.

Real-time analysis

Reduce transactional fraud thanks to real-time analysis of operations with a single tool that protects the business and improves the user experience
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Transaction description

Enable quick and efficient parameter-based transaction discovery
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Define rules at runtime

Adapt to your needs by defining rules at runtime
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Learn more about the benefits of
Fraud Prevention

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Unique behavior profile

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Reduce risk

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Risk-based security

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Protect your business

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Safeguard your reputation

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Robust authentication

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Fraud Prevention 1

Protect user identities and your company’s data
Improve the cost-benefit ratio of resources dedicated to online fraud detection
Prevent money laundering and the infiltration of illicit goods into the legal economic system
Configure automatic transaction approvals and rejections based on customized lists and third party sources
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Fraud Prevention's features

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With VU's flexible
Fraud Prevention solution
you will have access to:

An integration with different systems
Extensive capabilities to integrate with a wide array of systems and scale alongside the needs of your company

User analysis and classification
A precise analysis of user behavior that allows them to be classified according to risk level

User profile creation model
Based on informative fields, attributes, and privileges

Fraud events prediction
Better future fraud predictions

Dynamic reports
Online module with real-time customizable reports segmented by: channel, specific rule, user, and more, that allow information to be exported and handled in a personalized way

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How does it work?

Smart User Profiles

We create smart user profiles by using big data techniques and analysis of transactional behavior including: user connectivity data, amounts, dates, frequency, and operation type. These fields can be personalized by the operator to generate web services compatible with those in use.

Rule-based Engine

We have a static and dynamic rule-based engine that we build based on how each user operates and the most common fraud events associated with the characteristics of each business.

Artificial Intelligence

Artificial intelligence and machine learning enable real-time data storage and processing to detect, alert to, and act on threats that put the security of platforms, systems, and applications at risk.

Smart User Profiles

Fraud prev como funciona 1

Smart User Profiles

We create smart user profiles by using big data techniques and analysis of transactional behavior including: user connectivity data, amounts, dates, frequency, and operation type. These fields can be personalized by the operator to generate web services compatible with those in use.

Rule-based Engine

Fraud prev como funciona 2

Rule-based Engine

We have a static and dynamic rule-based engine that we build based on how each user operates and the most common fraud events associated with the characteristics of each business.

Artificial Intelligence

Fraud prev como funciona 3

Artificial Intelligence

Artificial intelligence and machine learning enable real-time data storage and processing to detect, alert to, and act on threats that put the security of platforms, systems, and applications at risk.

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Learn more about
Fraud Prevention use cases

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  • One-click online payment.
  • User scoring.
  • Prevention of money laundering from transactions originating from illegal or unregulated sources
  • Identification of mule accounts through banned lists, to which accounts suspected of being used for fraudulent maneuvers are added.

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