News

Sift Science raises USD 30 mln, launches fraud prevention solutions

Wednesday 20 July 2016 11:08 CET | News

Sift Science has announced a USD 30 mln Series C funding and the launch of a new set of products designed to detect and mitigate additional types of fraud and abuse.

Sift Science helps companies make decisions in real time about who they can trust online. Their machine learning software learns and detects fraudulent behavioral patterns, alerting businesses before they or their customers are defrauded.

Sift Science’s new products will target account abuse by keeping bad actors from creating fake accounts, content abuse by preventing scammers from posting fraudulent listings, messages, and other content and promo abuse which involves stopping users from manipulating online coupons and rewards programs.

Sift Science plans to use the financing to expand sales, marketing, and engineering teams, deepen its product capabilities and expand their offering to new types of fraud.

The funding round was led by Insight Venture Partners and Sift Science plans to use the financing to expand sales, marketing, and engineering teams, deepen its product capabilities and expand their offering to new types of fraud.

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.


Free Headlines in your E-mail

Every day we send out a free e-mail with the most important headlines of the last 24 hours.

Subscribe now

Keywords: fraud prevention, fraudulent behavioral patterns, account abuse, promo abuse, Sift Science
Categories: Fraud & Financial Crime
Companies:
Countries: World
This article is part of category

Fraud & Financial Crime






Industry Events