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Bonus abuse is exposing iGaming’s weak spots. Learn how smarter fraud tools—and AI—can turn this threat into a competitive edge.
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Learn how predictive analytics detects fraud using key tools, models, and real-world use cases.
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Case study
Serving Security at Scale: How a Global Restaurant Brand Saw Fraud Prevention ROI in Just Six Weeks
A global fast-casual restaurant brand faced escalating digital fraud threatening revenue, operations and customer trust.
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A global technology organization faced growing fraud risks that threatened its financial sustainability and operational efficiency.
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SBC’s Summit Latinoamérica brought together industry leaders, regulators and technology providers to discuss pressing issues and emerging opportunities in Latin…
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LeoVegas uses SEON to cut manual reviews by 30% and improve fraud detection by 10%, ensuring scalable fraud prevention.
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Lottoland used SEON to block bonus abuse and ATOs, boosting fraud detection efficiency and achieving 32x ROI on their prevention…
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Explore iGaming fraud, its impact, and how to protect your platform and players while keeping gameplay fair.
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Betflag uses SEON to fight bonus abuse and boost efficiency by 20%, protecting profits without slowing down operations.
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Oxylabs blocks bonus abusers and cuts manual reviews by 80% with SEON, boosting efficiency without compromising fraud protection.
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We shed some light on iGaming industry fraud data to see what patterns are emerging.
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With welcome bonuses comes bonus abuse.