Posted in "Machine Learning"

  • Machine Learning Is a Valuable Tool, Not a Silver Bullet

    By Clint Lowry, Director of Global Product Management and Research January 27, 2017

    Online fraud attempts are up over the past year and only expected to rise further. This is a problem that’s not going away anytime soon, leaving many fraud managers and risk professionals searching for better solutions to avoid escalating costs.

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  • Multi-layer Security Fraud Mitigation Lowers the Cost of Detecting Fraud

    By Jeff Wixted, VP Operations & Product Management November 01, 2016

    Accuracy is the primary means to lower the cost of fraud detection. When an automated solution is less accurate, the frequency of manual reviews rises along with associated costs of reacting to false positives and other bad triggers. When the automated solution brings more accurate results, the need for manual reviews drops. The odds of accuracy grow with a balanced, multi-layered approach to automated controls. Related benefits include lower costs by less intervention of fraud professionals and less friction in the buying process that might irritate a good customer. Some data points in this year’s LexisNexis True Cost of Fraud study show the importance of this principle and how to achieve its benefits.

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  • New Machine Learning Model

    By Kristin Hoyne Gomes, Director Decision Sciences May 22, 2015

    Want to boost your decisioning effectiveness? Accertify is pleased to announce that we can now offer clients the ability to implement a new statistical model type built with machine learning to help reduce your review rate and improve your fraud capture rate.

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