This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team.
Dubai-based Careem became the Middle East’s first unicorn when it was acquired by Uber for $3.1 billion in 2019. A pioneer of the region’s ride-hailing economy, Careem is now expanding its services to include mass transportation, delivery, and payments as an everyday super app.
But its size and popularity—it has around 50 million customer accounts—have also made it a prime target for fraudsters constantly looking for new loopholes to exploit and different ways to hijack genuine accounts.
In this post, we share how Careem detects identity fraud using graph-based deep learning and Amazon Neptune.
The challenge
Due to Careem’s massive popularity, fraudsters are constantly looking for new loopholes to exploit, create identity-faked accounts (first-party fraud), and different ways to hijack genuine accounts—also known as account takeover (third-party fraud). In Careem’s data science and analytics backed Integrity

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