The End of Bonus Abuse: Multi-Accounting Detection in Real Time

Evolving Nature of Bonus Abuse

Bonus abuse is not new. Over the last two years, operators have consistently reported an increase in players creating multiple accounts to claim welcome bonuses multiple times or beat spending limits. What has changed is that users are using more sophisticated means to get around the controls, involving the use of VPNs, shared devices, synthetic identity or organized clusters of players. KYCAID’s expanded suite adds real-time detection for patterns like these, based on signals from devices, document similarities, behavioral patterns and other markers outside the scope of regular KYC procedures.

In practice, the system creates a second layer of insight rather than an additional hoop for players to jump through. It runs in the background during verification and the early stages of gameplay, looking for clusters of suspicious connections or repeated identifiers. The operator then has fewer manual checks to make, and less risk of inadvertently spending marketing budgets on the same user over multiple accounts.

An early version of the system was trialed with multiple operators and platforms, which reported a significant decrease in attempts to onboard duplicate accounts. KYCAID says the goal is not only to block abusive activity, but to give risk teams better data to make decisions, especially in the grey areas where most manual reviews would end up going.

Strengthened AML and Sanctions Screening

Along with the multi-accounting detection, the update also includes Continuous AML Monitoring and a Single PEP&Sanctions Scan feature, which is powered by a new fuzzy-search engine. Continuous AML Monitoring now periodically checks clients against international sanctions lists, but the new fuzzy search algorithm means clients whose names match onscreen may appear with different spellings, transliterations, or minor variations, for example Cyrillic-to-Latin transliterations or simple typos.

The same fuzzy matching logic is available on Single Scan, helping operators with detection of politically exposed persons even when they are listed in different forms. This technology significantly reduces the chance that someone will be missed simply because they spelled their name differently, while also minimizing false positives where the same names overlap legitimately.

That means fewer false negatives for sanctioned or high-risk individuals — without requiring operators to manually review long lists or overblocking legitimate users by mistake. For compliance teams, it’s a move toward more consistent onboarding and oversight in a fast-moving global market.

Regulatory Shifts and Operational Pressure

The timing of KYCAID’s announcement also lines up with increased regulatory attention to identity consistency in online gambling. Eugene Borysenko, CLO of KYCAID, notes that several jurisdictions are in the process of or are about to increase rules and requirements around onboarding, player protection, and fraud prevention. Analysts say that while operators tend to use document checks as a first line of defense, regulators are taking a growing interest in whether the platform can also identify patterns of behavior that indicate a wider problem.

Tools that give operators a way to cut bonus abuse and better segment customer risk in line with their risk appetite can be a meaningful operational improvement, given the pressure from new compliance expectations and already tight margins. This update reflects a growing trend in the industry: to build verification systems that consider more than the paper ID and look at behavior the second a user steps onto the platform.