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How well do you prevent

BONUS ABUSE

and safeguard your revenue?

Find out now

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)

Bonus abuse: the hidden costs

Explore the real impact of bonus abuse, why manual
defenses fall short, and how next-generation AI goes
head-to-head to stop increasingly sophisticated fraud.

How Bonus Abusers Operate: Insights from a Former Bonus Abuser

Former Bonus Abuser

The True Impact of Bonus Abuse and Why AI-Powered Prevention Is the Future

Stian Enger

Head of CasinoEngine

What's Behind Bonus Guardian?

Tetiana Dychenko

Chief Product Officer, CasinoEngine

The many faces of bonus abuse

Discover the key types of bonus abusers in the iGaming
industry and how they operate across different segments.

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

Create fake or AI-generated identities that look real at first glance
Use AI to find the easiest bonuses to exploit and the best moments to strike
Adjust their behaviour using AI so they blend in and avoid getting spotted by the operators
Automate large numbers of accounts to collect bonuses faster than manual checks can catch

How Bonus Guardian Uses AI

Spots unusual patterns and small details that fake accounts can’t fully hide
Continuously trained to spot and prevent bonus abuse, adapting instantly to new fraud patterns
Continuously improves as it processes more data, staying a step ahead of changing tactics
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.