Loss of Revenue and Increased Costs
Laundered money often involves fraudulent or stolen funds, which can lead to chargebacks and a loss of legitimate revenue.
Dealing with these fraudulent accounts also drives up operational costs, as you’ll need to invest time and resources in investigations and remediation.
Decreased User Engagement
If your platform becomes a conduit for money laundering, it can damage the integrity of your games, creating an unfair experience that drives honest players away.
Legitimate players may also face inconvenience due to added security measures—transaction delays, identity verifications, or even wrongful account freezes—frustrating the gaming experience.
Player Anonymity
Gaming platforms often let players create accounts with minimal personal information, making it easier for criminals to hide their true identities.
Cryptocurrencies, which some platforms accept, provide even greater anonymity, making it harder to trace transactions and complicating efforts to track illicit activity.
Lack of Standardization
AML regulations are enforced differently across countries, which leads to inconsistencies and opens the door for money laundering in less-regulated regions.
Operators may also adopt varying levels of security and compliance measures, leaving gaps that criminals can exploit.
Evolving Techniques and Technology
Criminals are constantly refining their methods to stay ahead of detection. They may combine deposits, player-to-player collusion, and withdrawals to launder money, making it difficult to trace.
Player Privacy Concerns
To stay compliant with AML regulations, you may need to collect and analyze a significant amount of player data—an effort that could raise privacy concerns.
Players may resist extended verification processes, potentially leading to a loss of customers.
This creates a balancing act between maintaining a smooth user experience and meeting strict AML requirements.
Behavior Based - Not Rule Based
Instead of relying on rigid, rule-based methods, GAMWIT leverages advanced AI/ML algorithms to identify the subtle and complex behavioral patterns of money launderers—patterns that might be missed by manual detection.
With real-time transaction monitoring, GAMWIT flags suspicious activities as they happen, enabling operators to take immediate action, such as freezing accounts or blocking transactions, to stop laundering in its tracks.
Large Datasets Analyzed Instantly
GAMWIT processes massive volumes of data to analyze player-specific betting patterns, gaming activities, and non-gaming interactions.
Our in-house Proprietary Feature Factory, backed by decades of gaming industry experience, ensures highly accurate predictions for better risk management.
Dynamic Risk Assessment
GAMWIT assesses each player’s risk level dynamically by analyzing their transaction history and behavioral patterns through our Proprietary Feature Factory.
This enables operators to prioritize actions effectively, ensuring that high-risk activities are addressed first.
Enhanced User Experience
With better detection accuracy, GAMWIT reduces the risk of mistakenly flagging legitimate players as suspicious.
This creates a smoother, more secure experience for your players while helping you target potential laundering activities with precision.
Enhanced Reporting
GAMWIT generates detailed, accurate reports for regulatory bodies, ensuring full documentation of suspicious activities and compliance with AML regulations.
These reports help you stay on top of your regulatory obligations with minimal hassle.
Fraud Detection and Prevention
Using predictive analytics, GAMWIT anticipates potential laundering activities based on historical data and trends.
This allows operators to implement preemptive measures, stopping money laundering before it even begins.