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Sift Science
Sift Science is a fraud detection solution for websites and mobile applications. The platform utilizes large-scale machine learning to detect fraudulent users, activity, and transactions. Customers use the Sift Science Console to visualize an order's likelihood of fraud on a 100-point scale, known as the Sift Score, with the goal of reducing e-commerce chargebacks, fake accounts, and other types of online fraud.〔(【引用サイトリンク】url=https://support.siftscience.com/hc/en-us/articles/201604976-What-is-a-Sift-Score- )〕 The site also offers free resources and educational materials that introduce new online merchants to the aspects of e-commerce and risk management. Customers customize their Sift Science machine learning models based by adding custom data fields and events.
== History ==
Sift Science was founded June 1, 2011〔(【引用サイトリンク】url=https://www.crunchbase.com/organization/sift-science )〕 and publicly launched its product on March 19, 2013. The company cofounders, Jason Tan and Brandon Ballinger, are graduates of the startup accelerator Y Combinator, known for its competitiveness and networking opportunities. In 2014, Sift Science was named a big data company to watch in Fortune Magazine.
In March 2014, Sift Science won the MRC METAward in the start-up category.
In the summer of 2014, Sift Science gained greater attention in the web developer community with the publication of a blog post highlighting (Seven Habits of Highly Fraudulent Users ).〔(【引用サイトリンク】url=https://news.ycombinator.com/item?id=8116047 )〕
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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