iGaming Operators Grapple with Sophisticated Bonus Abuse Syndicates

Online gaming operators are increasingly contending with bonus abuse that transcends individual bad actors, evolving into a complex challenge orchestrated by organised syndicates. Experts from EveryMatrix, Tetiana Dychenko and Stian Enger Pettersen, highlight that viewing this issue as merely sporadic and isolated severely underestimates its true scale and sophistication.

The Evolving Threat Landscape

Historically, bonus exploitation was often perceived as the work of solitary individuals. However, the current landscape reveals a multifaceted problem. EveryMatrix identifies four distinct profiles of bonus abusers in its recent white paper. These include the 'solo bonus hunter' employing throwaway accounts and multi-accounting, the 'sports trader' leveraging discrepancies between bookmakers for risk-free profits, and the 'insider' who infiltrates marketing channels for fraudulent gains. Of particular concern, however, is the 'syndicate' profile, characterized by its organized, coordinated nature and capacity to bypass systems on an industrial scale through methods such as identity spoofing and bot networks.

These syndicates are becoming progressively more sophisticated, driven by advancements in artificial intelligence and automation. According to Europol, fraud schemes now represent the fastest-growing segment of organized crime, making the transactional rich environment of online betting and gaming a prime target. Dychenko emphasized the rapid escalation of such issues, stating, "What begins as a minor issue can escalate into significant financial losses in a very short time."

Statistical Evidence and Impact

Data underscores the escalating severity of the problem. Research indicates that fraud rates within the iGaming sector have substantially increased, doubling between 2023 and 2025. Furthermore, a significant 83% of industry professionals reported a rise in fraudulent activities over the previous year. The adoption of AI by fraudsters is also evident, with nearly 8 out of 10 operators observing an uptick in AI-driven fraud. Deepfake fraud, for instance, surged dramatically from a negligible 0.03% in 2023 to 0.79% in 2024, with certain markets like Brazil experiencing rates five to ten times higher than in the US or Germany, respectively.

Limitations of Traditional Prevention

Traditional methods of fraud detection and mitigation are proving inadequate against these advanced threats. Manual interventions offer minimal impact when fraudsters utilize AI, automation, and synthetic identities. Dychenko pointed out the inherent challenge, explaining that "no human team can realistically analyse thousands of behavioural signals across thousands of players in real time." She elaborated that modern bonus abuse is rarely obvious, instead manifesting through dozens of subtle behavioral indicators like unusual gameplay, suspicious deposit patterns, or inconsistent session timings. These seemingly harmless signals, when combined, can reveal larger patterns of abuse.

Moreover, common fraud prevention strategies, such as anti-money laundering (AML) and Know Your Customer (KYC) checks, often concentrate on the onboarding stage. However, over 75% of European operators report that fraud occurs after customer registration. Dychenko confirmed that while welcome offers are a high-risk area, sophisticated abuse continues throughout the player lifecycle, targeting ongoing campaigns and even new games after accounts have established apparent legitimacy.

AI as the Solution

While AI fuels new forms of bonus abuse, it also presents a powerful countermeasure. Stian Enger Pettersen noted that while stringent wagering requirements can deter some abusers, they also negatively impact genuine players. He asserted the superiority of adaptive technology, stating, "Static rules stop where the playbook ends, but AI keeps learning, spotting new patterns, adapting and meeting bonus abusers on the same technological level." Dychenko further explained that AI doesn't replace human reviews but enhances them by filtering data and prioritizing the most critical cases, enabling teams to focus effectively.

EveryMatrix's Approach: Bonus Guardian

To combat this evolving challenge, EveryMatrix offers Bonus Guardian, an AI-driven anti-fraud tool specifically designed for the complexities of bonus abuse. This solution identifies and flags suspicious behavior long before human observation, providing operators with crucial moments to act. Unlike generic anti-fraud tools, Bonus Guardian integrates seamlessly with existing operator systems, including payment processing and player account management platforms. By continuously learning from real-time player behavior and transactional data, it minimizes false positives and reduces manual workload, providing a context-aware approach.

Pettersen underscored the dynamic nature of their solution, describing Bonus Guardian as "far more than a traditional fraud detection tool," functioning as an adaptive protection layer that constantly evolves against emerging threats and increasingly sophisticated abuse tactics. This continuous monitoring throughout the entire player journey, from registration to long-term engagement, is essential to counter bonus abuse, which is now understood as an ongoing behavioral pattern rather than a singular event.