Combatting Online Fraud with Machine Learning - ERP Spain.com - España y América Latina

As businesses shift to providing an e-commerce online shopping experience through mobile devices, online fraud continues to rise. It is often difficult to know if a particular transaction is coming from a trusted customer or a sophisticated fraudster hiding their true location and using stolen identities, login or financial credentials.

By understanding the backstory of your visitor through their device – be it a mobile phone, tablet or laptop – you can make smarter, more informed decisions when it matters most. Using iovation’s device intelligence, you can tap into the information and insight you need to keep the fraudsters out.

Join iovation’s Eddie Glenn and Kent Dahlgren on Tuesday, November 8th as they discuss:

-The importance of understanding sophisticated techniques to uniquely recognize mobile devices and to determine if risk indicators are present that indicate potential fraud.

-Security risks and concerns of an unsafe mobile app.

-How to utilize Machine Learning to predict the likelihood that fraud will occur for a particular transaction from a device with similar attributes.

-The ideal approach to prevent online and mobile fraud this holiday season.