Prevent bonus abuse and
safeguard your revenue

Exclusive to BonusEngine users, Bonus Guardian leverages
advanced AI and machine learning technologies to analyse
thousands of patterns, proactively predicting and preventing
bonus abuse for a more cost-effective approach.

Book a demo

0%

of operators reported most
fraud at deposit phase 
(Sumsub, 2025)

0%

of operators saw fraud 
increase in 2024
(Sumsub, 2025)

0%

of operators cited bonus abuse among major risks
(Sumsub, 2025)

$0 billion

in annual losses in European iGaming sector
(Gambling News, 2025)

Identify complex bonus
abuse patterns

Bonus Guardian constantly analyses user activity
to accurately distinguish between legitimate play and
fraudulent behavior. The model constantly learns and adapts
to identify sophisticated exploitation tactics.

AI-driven analysis

AI-driven analysis

Leverage advanced AI and machine learning to identify bonus abuse patterns.

Behavioral modeling

Behavioral modeling

Builds predictive models based on user activity and characteristics.

Continued learning

Continued learning

Continuously trained AI model to adapt to new abuse techniques.

Pattern recognition

Pattern recognition

Analyses thousands of behavioral patterns to predict abuse efficiently.

Improve operational
teams performance

Boost promotional ROI

Boost promotional ROI

Bespoke solutions, customer service and dedicated teams for every tier-1 operator and lottery customer.

Reduce manual workload

Reduce manual workload

AI-driven behavior models analyse 10+ user activity channels, learning and adapting to cut false positives.

Scale with confidence

Scale with confidence

Continuously learning model helps you stay ahead of evolving threats, no new rules required.

Segment and act smart

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

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

Bonus Guardian

  • Built into bonusing ecosystem
    Natively integrates with BonusEngine or PAM, using promotion logic for context-aware control.
  • Advanced AI/ML behavior modeling
    Detects multi-account rings, synthetic IDs, proxies, and AI-driven fraud.
  • Smart, role-based responses
    Flexible actions by risk level (promo exclusion, holds, manual review).
  • Future-ready protection
    Continuously learning models adapt to emerging threats.
  • Cross-team alignment
    Embedded in promo stack for coordinated, fraud-aware campaign design.

Other solutions

  • No integration with bonus or promo systems.
  • Static rule-based checks requiring manual updates.
  • Limited to basic approve/deny outcomes.
  • Static models that can’t evolve with new fraud tactics.
  • Operates in isolation from marketing tools, reducing agility.

Full control of handling bonus abusers

Bonus Guardian not only helps you identify bonus abuse attempts early on and stops them, but it also allows you to handle abusers with proper restrictions.

  • Seamless integration with any CLS / CGS backend
  • Supports draw games, subscriptions, fast draws, and eInstants
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Operating Bonus Guardian

Bonus Guardian is an essential security layer you can add through
BonusEngine. Together, they form a complete bonusing and fraud
prevention solution, giving you full control over your player rewards.

The tool integrates seamlessly with the operator's PAM and BonusEngine,
running on the same API for a smooth and hassle-free implementation.

Ready to start a conversation?

Schedule a demo today to discover how our bonus abuse prevention technology proactively safeguards your revenue.

Talk to an expert
Daniel Clark
Group Commercial Director
Richardt Funch
Global Commercial Director
Ivan Rozić
Global Commercial Director
Nikolina Gabelica
Head of Lottery
Mark Schmidt
Managing Director Africa
Russell Colvin
Commercial Director UK
Matias Montero
Managing Director LATAM