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Detailed explanation of risk control measures for online gambling websites

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Detailed explanation of risk control measures for online gambling websites


Payment risk control


Online gambling websites have adopted a variety of risk control measures in the payment process. For example, many gambling platforms require that the recharge amount cannot be an integer, the recharge amount ends with 8 or 9, or the recharge amount is automatically converted to a decimal. These measures increase the difficulty of detection for banks and third-party payment companies.


In addition, gambling platforms can also limit the recharge time, and by understanding the bank's risk control strength and weakness in different time periods, limit the recharge time accordingly to bypass the bank's risk control measures. In order to avoid large-amount fund payments causing risk control alerts, gambling platforms usually require players to split large amounts of funds into small payments.


Compared with payment platforms such as Alipay and WeChat, using bank cards for recharge makes it easier to hide the flow of funds. Therefore, many gambling platforms strongly recommend players to use bank cards for recharge and provide corresponding preferential policies to encourage this payment method.


Capital chain management


Online gambling websites effectively manage the capital chain by simplifying the capital chain and synchronizing the capital flow and information flow. Every time a player completes a transaction, the website background will simultaneously register the transaction information to ensure that the capital flow and information flow are synchronized. This synchronization mechanism improves transaction transparency and reduces risks in the capital flow process.


Under the "single account" fund flow model, gambling websites use their own accounts as fund channels to directly receive and pay gambling funds. However, with the increase in supervision, a more covert "account pool" fund flow model has emerged. Through the "account pool" flow, gambling funds are split and merged, and finally enter the account actually controlled by the gambling website, making the capital chain longer and more difficult to track.


Technical means


In order to strengthen risk control, online gambling websites use multi-dimensional relationship network maps and real-time data monitoring technology to build a multi-level relationship network view between accounts and merchants to better identify and prevent potential risks. Through the visual relationship network map, it can associate accounts with the same name, phone numbers, online banking operation IP and MAC addresses, transaction counterparties and other account information to effectively identify suspicious accounts involving gambling and fraud.


Real-time data monitoring is an important part of risk control. By monitoring customer transaction habits, transaction amounts, transaction times, and transaction frequencies, the website can identify suspicious transaction behaviors. For example, if the transaction category, size, and frequency are obviously inconsistent with the customer's personal occupation, income, etc., the system will issue a timely warning.


In addition, gambling websites also use technologies such as big data, cloud computing and machine learning to improve their ability to identify customer identities and monitor suspicious transactions, establish analysis and judgment models for the expansion of suspicious accounts, and continuously optimize risk monitoring models through multi-dimensional information correlation.


Access to third parties for data analysis


Through data analysis and intelligent risk control systems, online gambling websites can identify and prevent potential risks. Relevant institutions should pay close attention to online gambling violations and new money laundering methods, summarize the account and merchant opening and transaction characteristics, continuously optimize monitoring models, and identify suspicious transactions from multiple dimensions.


All relevant institutions should improve their technical defense capabilities, apply technologies such as big data, cloud computing, and machine learning, and strengthen customer identity identification and suspicious transaction monitoring. Obtain payment account information through automated means, build a feature library, automatically crawl gambling websites, simulate registration, login, recharge and other processes, and obtain payment account information used for gambling fund recharge.


Through intelligent tools such as complex networks, knowledge graphs, and unsupervised algorithms, we build the ability to identify multi-level financial network relationships and criminal gangs, expand the discovery of more suspicious gambling-related accounts, and take control measures.


Compliance Recommendations


Online gambling websites face many challenges in terms of compliance, especially in preventing money laundering and illegal transactions. In order to effectively identify suspicious transactions involving gambling and money laundering, lock gambling accounts, determine the path of fund transfer, and take timely control measures to block the collection and transfer of gambling funds, institutions should continue to strengthen account opening and merchant access review, strengthen suspicious transaction monitoring and analysis, and improve intelligent technology judgment capabilities based on the characteristics of cross-border online gambling money laundering accounts and transactions.


Strengthening customer identity identification is a key step in compliance management. All relevant institutions should fully implement the "risk-based" requirements, strengthen the management of the entire life cycle of accounts, and effectively assume the main responsibility for payment services in accordance with the principles of "whoever opens the account (card) is responsible", "whoever is the user (merchant) is responsible", and "whoever is the cooperative customer is responsible". Issuing banks should comprehensively strengthen the investigation of existing accounts and the review of newly opened accounts, strictly implement the real-name account opening review requirements, and verify the intention of opening an account.


In terms of technical means, risk control can be effectively strengthened by using multi-dimensional relationship network maps and real-time data monitoring. Through the visual relationship network map, we associate accounts with the same name, phone numbers, online banking operation IP and MAC addresses, transaction counterparties and other relevant information to build a multi-dimensional and multi-level relationship network view, conduct account/merchant relationship analysis, and identify potential risks.


In addition, financial institutions need to continuously optimize transaction risk monitoring models, dynamically improve risk prevention and control mechanisms, and conduct risk prevention and control for risky accounts/merchants throughout their life cycle from multiple links such as account/merchant access, transactions, and disposal. Effectively identify illegal transactions such as cross-border online gambling that use public accounts to disguise as legal transactions to ensure the effectiveness of compliance management.


Future Trends


With the continuous advancement of technology, the future trend of online gambling risk control will rely more on advanced data analysis and artificial intelligence technology. Through real-time data monitoring and multi-dimensional relationship network maps, gambling websites can more effectively identify and prevent potential risks.


In the future, virtual currency payments may play a more important role in online gambling. Although the current threshold for using virtual currency is high, its anonymity and decentralization make it an ideal tool for gambling platforms to circumvent regulation.


In addition, the advancement of cross-border payment and settlement technology will also have a profound impact on online gambling risk control. With the increase in cross-border gambling crimes, financial institutions need to continuously optimize transaction risk monitoring models and dynamically improve risk prevention and control mechanisms to cope with the complex and ever-changing cross-border gambling capital chain.

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