Case Study: Bitcan achieves 96% reduction in unauthorized transactions and 35 percentage-point reduction in blocked traffic with Nethone's Know Your User solution

A Nethone Case Study

Preview of the Bitcan Case Study

How we boosted acceptance rate and lowered fraud for crypto exchange Ari10

Bitcan is a crypto exchange that offers instant cryptocurrency transactions up to USD 13,500, with "pay by link" as the most popular payment method. The convenience of pay by link left Bitcan exposed to a high percentage of fraudulent transactions and excessive rejection of legitimate users. To improve instant user verification and reduce manual reviews, Bitcan engaged Nethone and its Know Your User approach (via a proprietary on-site script).

Nethone embedded a script on Bitcan’s site to capture 5,000+ device and behavioral attributes, applied targeted blocking rules, then trained ML models on real traffic in a hybrid rules+ML workflow. Within two months Nethone reduced blocked traffic by 35 percentage points, cut unauthorized transactions by 96%, and prevented over $800k in fraudulent transactions; models are continuously refined by a dedicated Nethone data scientist.


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