Underdog Fantasy joins forces with Sift to prevent fraud

January 11, 2024
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Sift to provide digital trust & safety platform to sports gaming company Underdog Fantasy.

Underdog Fantasy has enlisted the help of fraud prevention platform Sift to increase the safety of online players and prevent fraud. 

This new partnership aims to protect users against fraud and streamline the transaction process.

Sift’s fraud prevention solution utilizes machine learning and a global data network of 1 trillion annual events to identify high-risk transactions in real-time.

The platform helps operators prevent the use of stolen payment methods and reduce chargeback fraud. Furthermore, Sift assists with detecting false positives when legitimate user actions are blocked on suspicion of criminal activity, reducing the encumbering impact on legitimate players.

Sift’s partnership with Fantasy Underdog expands its presence in the fantasy and online gaming sphere.

Commenting on the collaboration, CFO and COO at Underdog Fantasy Dustin Cooper shared: "Protecting our players through innovation is part of our DNA, and we’re thrilled to partner with Sift in this important mission.

“Sift’s industry expertise and innovative use of machine learning allow us to instantly identify and block emerging fraud threats without creating hurdles for our players. This partnership will help us further ensure our players can trust that Underdog will give them a fun, fair, and secure environment to increase their enjoyment of sports.”

Sift’s CMO Armen Najarian reflected this sentiment: "With Sift’s deep and broad coverage in the online gaming industry, we have a unique level of visibility into different fraud patterns affecting the sector.

"Underdog Fantasy abides by a player-first mentality and we’re confident our solution will help them do even more to protect their community without compromising a great user experience."

Underdog Fantasy has recently entered other partnerships, joining forces with both Optimove and Ultimate Autographs in December 2023.

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