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Best Practices for Fraud Managers: Selecting a Fraud Prevention Solution – Part II

2018-09-13T10:45:07+00:00 September 13th, 2018|Quick Takes|

This is part two of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as explainability, engaging visualizations, data privacy processes, and etc.

Best Practices for Fraud Managers: Selecting a Fraud Prevention Solution – Part I

2018-09-11T11:22:25+00:00 September 11th, 2018|Quick Takes|

This is part one of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as multi-layer protection, target use cases, global reach and data, etc.

Detecting New and Evolving Fraud Patterns in Digital Commerce

2018-08-24T16:13:54+00:00 August 14th, 2018|Technical Posts|

As attacks grow in scale and velocity, businesses are forced to evolve their fraud detection methods from manual detection involving blacklists and rule engines to machine learning algorithms that can detect known and emerging types of fraud. This article highlights why existing fraud detection methods have limitations and more importantly a few reasons why unsupervised machine learning is gaining traction.

DataVisor’s David Ting: How AI Technology Can Improve the ROIs of Acquiring New Users

2018-08-24T16:13:56+00:00 August 3rd, 2018|Company Updates|

The 16th ChinaJoy kicked off in Shanghai, China on August 3, 2018. The Global Game Industry Summit was held concurrently. David Ting, Vice President of Engineering from DataVisor, gave a speech titled “How AI Technology Can Improve the ROIs of Acquiring New Users” where he discussed the fake app install problems and introduced DataVisor’s fraud detection technology for the mobile gaming industry.

Maximizing User Acquisition ROI with AI Technology

2018-08-24T16:13:57+00:00 July 26th, 2018|Quick Takes|

In recent years, many mobile applications, including mobile games, have expanded to the global market. However, as they expand, fake traffic is becoming a growing problem that has long plagued many game developers. It directly results in the waste of marketing resources, making it impossible for developers to have real control over the ROIs of acquiring new users. 

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