Qin Pay provides accurate payment risk control for your business before, during, and after the whole payment process through its self-developed intelligent closed-loop payment risk management system based on AI, Big Data and other advanced technologies to detect, prevent and respond to more than 99% of transaction risks, allowing you to start your global business with confidence.
Perfect closed-loop payment risk management system protects your revenue in real-time
Precision
Precisely match the payment risk control model that suitable for your business scenario based on your actual business.
Depth
Anti-fraud knowledge graph established by more than 100 data elements, continuously mines the data association.
Flexible
Use the anti-fraud rule library by adding or modify rules, according to your business model and transaction risk.
Closed loop
Not only detect high-risk transactions in real-time monitoring, but also detect the potential high-risk transactions.
Why choose Qin Pay Risk Management Service?
Deep Understanding of Payment
Understanding business scenarios is one of the core advantages of Qin Pay payment risk management, Relying on years of risk control practical experience in global acquiring transactions, we have accumulated profound experience in global transaction risk management. We use big data analysis technology to build an anti-fraud measure, and use data analysis to extract the traits of payment fraud, to form risk control scheme models for different industrial scenarios.
One-stop Risk Managemet Service
We will bring you closed-loop payment risk management and control services before, during, and after. Qin Pay’s powerful payment risk database and continuous accumulation of payment risk control model can find most of the problem transactions before the transaction. Based on the machine learning ability of AI, the risk control systems can analyze and identify a portion of risky transactions whose risk characteristics are not yet clear. After the transaction is completed, the payment risk control system will continue to identify problematic transactions from successful transactions to reduce the risk of further payment frauds.
Smart Risk Modeling
We have full-time senior analysts and modelers to diagnose risks for you from the perspective of your actual business scenario, design a risk control model that fits your business, and continuously optimize the model through systematic and manual methods. Among them, our optimized methods include automatic analysis and sorting of risk characteristics by AI machines, setting risk parameters through manual participation, and updating blacklist database resources.
Precise Prevention
Our intelligent risk control system meets the risk control needs of various business scenarios. Combined with AI machine learning, we design an effective anti-fraud model from data collection, model building, decision engine, data analysis, and other links, to resist more than 99% of the risks in your business.
Millisecond Level Risk Identification Speed
Our powerful payment risk control system can control the risk control detection time at the millisecond level, your consumers will complete the risk judgment of the order without any perception, and get a better payment experience.
Who has selected Qin Pay Payment Risk Management?
Flexible tuning and real-time prevention
One day in February this year, Qin Pay informed us that our transaction volume had multiplied drastically, increasing by more than 30,000 transactions over the expected peak daily volume for the same period of the year. Fortunately, Qin Pay’s risk management system had been closely monitoring the transactions and were able to detect the errant transactions, confirming that they were fraudulent and effectively blocking out these scam orders. In addition, Qin Pay followed through with excellent post-detection support, enabling us to avoid an estimated loss of USD50,000 due to fraud.
Scene-based risk control, accurate detection
In March 2021, during a routine process, we were alerted to a data leakage of up to 1 million instances of personal data and payment details being siphoned off every week.
With their continuous monitoring capabilities, Qin Pay detected fictitious users on the site who had, within a brief period of time, fraudulently duplicating up to 10,000 transactions using more than 7,000 cards and racking up transaction amounts exceeding USD100,000. Qin Pay’s Data Modelling capabilities quickly analyzed and confirmed the fraudulent nature of the merchant’s activities and proceeded to block the corresponding orders, minimizing the merchant’s losses due to chargeback n fraudulent transactions.