Overview

A powerful and modern artificial intelligence engine is responsible for transforming data in an optimal and precise predictive model that allows users to explain the causes and effects of a particular fraud. Stands out from other solutions because of its accuracy and power.

Thanks to its predictive engine, using new data from customers transactions to learn and constantly improve its accuracy without human effort. This continuous process allows you to uncover and adapt more quickly to new ways of defrauding that may arise in the market, significantly reducing potential losses.

Capacities

• dVelox EFM is based on predictive models that allow you to "explain" the causes of certain types of fraud.
• Tool sensitive to changes in new market behavior and adapts to them automatically, detecting new ways of defrauding arising at any time to anticipate them and make decisions proactively.
• Detect fraud accurately in nearly real time (on-line).
  Their results support this:
  
  • Increase of 35% on average in the detection of fraudulent transactions.
  • 10% of fraudulent transactions detected were new or previously unknown fraud.
• Feedback with new data coming from the customers' operations. All this unattended and automatically.
• The business user creates own scenarios and simulations, using an intuitive graphical interface that allows to work autonomous without relying on skills in math or computer science.
• Ease of integration with other corporate applications and architectures. Standards based, to add new functionalities as business needs.
• Detection of fraudulent without requiring an extensive historical data. The tool provides automatic feedback and is continuously learning improving accuracy over time.

Value added

• Reduction of losses caused by fraud. Economic losses are reduced by detecting fraud in less time.
• Total coverage of real-time analysis to give support the full cycle automated fraud detection. Increases up to 10% of fraud detection new or previously unknown.
• Reduced operating costs analysis. Alerts reduction and false positive provides lower  analysis costs in incidents that not only are not fraudulent but in most cases the rules come from downdrading thereof.
• Cost Reduction creating and maintaining models. Complex and accurate models can be built in hours instead of weeks or months. The immediate results makes it possible to activate the mechanisms of prevention and research.
• Ability to react almost in real time new types of fraud. While other existing technologies adopt a reactive strategy, dVelox Fraud Management is able to feed back daily suspicious behaviour at the speed that the market needs.
• Its Ease of use facilitates greater independence of business rules expert and analytic tools that require the intuition of a team of experts.