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WePay launches Veda social risk engine

Thursday 9 May 2013 14:24 CET | News

Online payments startup WePay has introduced Veda, an intelligent social risk engine which leverages social media data as well as traditional business data to catch merchant fraudsters.

Veda uses data from social networks such as Facebook, Twitter and Yelp coupled with proprietary algorithms to mine and analyze a merchant’s social signals to gain a more accurate picture of risk. Veda uses pattern recognition, integrated support data and automatic cross-referencing to analyze risk. In order to do that, the risk engine requires several details including first name, last name, name of business, email address, and phone number.

WePay currently offers a range of payment products which are mostly aimed at the small and medium sized online businesses. The company’s tools currently focus on four use cases: selling products online, selling tickets, accepting donations and sending bills to request payments. Merchants can use WePay’s tools to set up online stores and embed them on their own websites.
 


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Keywords: WePay, Veda, online payments, online fraud, risk management, US
Categories: Fraud & Financial Crime
Companies:
Countries: World
This article is part of category

Fraud & Financial Crime