Tag: Fraud Modeling

React, or Prevent? Why Organizations Must Embrace A Proactive Approach To Fraud Management

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Proactive fraud prevention is a concept, but it’s also something that can be applied in very tangible and tactical ways.

If you're only keeping up with fraud, you're already behind. It's only through proactive fraud prevention approaches that modern fraud can be stopped.

Post-Modeling: Your One-Stop Solution for Solving Fraud Problems in Real Time

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Putting advanced analytics, robust rule management and optimization, and efficient case management to work to defeat…

Putting advanced analytics, robust rule management and optimization, and efficient case management to work to defeat known and unknown fraud. In this post, the third installment in our three-part series on fraud modeling, we’re going to look at what happens after models are deployed. This…

Fraud Modeling with Automation, Complete Control, and Domain Expertise

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Discover how to build, test and deploy high-performance fraud models in a matter of minutes, instead of days.

Fraud model building must be rapid enough to respond to fraud threats and abuse in real time. DCube facilitates collaboration between fraud and data science teams to build models, review detection results, compare models, improve performance, and deploy in production for enhanced efficiency.