Risk Management Solutions for Gaming

Based on professional technologies such as device fingerprint, proxy detection and human identification and massive malicious IPs, QQ numbers and mobile phone numbers, we help the gaming companies prevent commonly occurring account theft, card theft payment, fraud information and traffic channel cheating, so as to reduce the gaming companies' loss due to fraud, enhance user experience, and protect the brand reputation of gaming companies.

Common Application Scenario

Platform Marketing Scenario

  • Traffic Cheating
  • SMS Bombing
  • Garbage Registration

Game Player Scenario

  • Account Theft
  • Fraud Information
  • Junk Information

Payment Scenario

  • Card Theft Payment
  • Money Laundering

Help you detect the effects of promotion channel traffic, thus reducing the losses caused by promoting cheating.

Protect players' accounts and clean the gaming environment.

Monitor abnormal payment behaviors and protect the interests of gaming companies.

Identify channel traffic provider cheating, malicious clicking, machine clicking and other behaviors of gaming companies in marketing and promotion, so as to reduce economic loss of gaming companies due to traffic fraud.

Protect players' accounts in an all-round manner with risk monitoring of players' accounts, prompt reminding of abnormal login, accurate identification of players' interaction content, thus cleaning the gaming environment and protecting information security of gaming companies.

Identify card theft payment, money laundering and other behaviors in the links of game recharge and virtual currency purchase.

APP Install Abuse DetectionAccount Takeover/abuse DetectionInterface Abuse Detection Anti SMS Interface AbuseAccount Takeover/abuse DetectionContent Abuse DetectionTransaction FraudPayment Fraud

Business Process Risk Management Deployment

Recommendations for Application Scenarios

If you have offline business only, the following services are recommended:

Account Takeover/abuse DetectionAPP Install Abuse DetectionPayment FraudTransaction FraudContent Abuse Detection

Client cases

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