Topic
iGaming data and fraud
Fraud, money laundering and bonus abuse all leave a trail in your data — deposits, withdrawals, bets, sessions, IPs, devices and affiliate attribution. This is the data-engineering side of iGaming compliance: the fraud and AML signals already sitting in what you collect, how to combine them into an explainable review score without treating a signal as proof, and how that maps to what the MGA, the UKGC and Curaçao expect. Vendor-neutral, source-backed, with an open reference pipeline — the part between “buy a platform” and “read the regulation”.
This is exactly what I do in A data pipeline that breaks loud and early — never in silence.
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