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Identify complex bonus
abuse patterns
AI-driven analysis
Leverage advanced AI and machine learning to identify bonus abuse patterns.
Behavioral modeling
Builds predictive models based on user activity and characteristics.
Continued learning
Continuously trained AI model to adapt to new abuse techniques.
Pattern recognition
Analyses thousands of behavioral patterns to predict abuse efficiently.
Improve operational
teams performance
Boost promotional ROI
Bespoke solutions, customer service and dedicated teams for every tier-1 operator and lottery customer.
Reduce manual workload
AI-driven models analyse behaviour patterns, learning and adapting to cut false positives.
Scale with confidence
Continuously learning model helps you stay ahead of evolving threats, no new rules required.
Segment and act smart
Apply role-based controls, from bonus exclusions to withdrawal holds, instead of one-size-fits-all rules.
Enhance genuine player experience
Keep friction low for real users while automatically tightening controls for high-risk behavior.
Operator advantage:
Bonus Guardian vs. legacy fraud tools
Natively integrates with the EveryMatrix Platform or EngageSuite.
Detects multi-account abuser rings, synthetic IDs, proxies, and AI-driven fraud.
Flexible actions by risk level (promo exclusion, holds, manual review).
Continuously learning models adapt to emerging threats.
Embedded in promo stack for coordinated, fraud-aware campaign design.
Full control of handling bonus abusers
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Seamless integration with any CLS / CGS backend
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Supports draw games, subscriptions, fast draws, and eInstants
Operating Bonus Guardian
Ready to start a conversation?
Bonus abuse is quietly demolishing marketing ROI and operational efficiency. Stop fraudulent behaviour early with our AI-powered solution identifies, before it impacts your business. Book a demo to learn more about it.
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