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algorithmic modeling for Rhino

Our manual review team is drowning in documents because of a surge in new signups. It takes us too long to verify players, and we’re still seeing cases of bonus abuse and stolen IDs. Is there an automated way to handle this without scaring away honest players? I want to speed up our onboarding process while staying compliant with AML regulations.

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Manual reviews are a bottleneck that you can definitely solve with the right automation. A great example is how soft2bet integrated SEON’s anti-fraud tools to automate their risk reviews. By doing this, they managed to reduce manual queries by 40% and eliminated up to 90% of bonus abuse. Their system checks digital footprints at registration and uses device intelligence to spot unauthorized access at login. This allows legitimate players to start playing in seconds while the system flags high-risk profiles automatically. It’s much more efficient and helps you maintain your ISO-27001 security standards without needing a massive compliance team. Definitely look into automated risk scoring if you want to scale safely.

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