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Bonus abuse: the hidden costs
The many faces of bonus abuse
The Bonus
Hunter
- Wagering Loopholes
- Multi-Accounting
- Cashout Exploits
- Bonus Parking
A solo bonus hunter using throwaway accounts and quick cash-outs to chip away at your promos. Typically encountered by operators, but often caught after the damage occurred.
The Sports
Trader
- Automated Betting Scripts
- Cross-Book Hedging
- Odds Exploitation
- Value Hunting
A calculated rule-bender who exploits differences between bookmakers or bonus rollover rules to lock in risk-free profits.
The
Insider
- Postback Manipulation
- Traffic Laundering
- Fake Conversions
- Referral Farming
A marketing infiltrator forging data and leads to drain budgets under the guise of performance.
The
Syndicate
- Cash-Out Networks
- Identity Spoofing
- Bot Armies
- IP Farming
A coordinated, industrial-scale operation exploiting bonuses across brands with automation and mules. Complex and hard to spot through conventional methods. Can produce significant damage.
AI versus AI in mitigating
bonus abuse
How Bonus Abusers Use AI
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Create fake or AI-generated identities that look real at first glance
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Use AI to find the easiest bonuses to exploit and the best moments to strike
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Adjust their behaviour using AI so they blend in and avoid getting spotted by the operators
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Automate large numbers of accounts to collect bonuses faster than manual checks can catch
How Bonus Guardian Uses AI
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Spots unusual patterns and small details that fake accounts can’t fully hide
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Continuously trained to spot and prevent bonus abuse, adapting instantly to new fraud patterns
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Continuously improves as it processes more data, staying a step ahead of changing tactics
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Detects bonus abuse much quicker and more accurately than manual reviews or static rules
Static rules vs. AI: the end of legacy fraud prevention
Manual checks stop only 54% of fraud attempts, and often too late!
Operators are seeing a rise in AI-generated fraud worldwide: Brazil faces rates 5× higher than the US and 10× higher than Germany.
Legacy fraud prevention is too generic, manual and slow, while AI/ML bonus abuse prevention techology is mature enough to offer a real alternative.
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63.8% of all iGaming fraud is attributed to bonus abuse -
AI-generated and deepfake fraud are accelerating
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Operators need specialised AI tools tailored to bonus abuse
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