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VIP Fraud Detection Service

VIP Fraud Detection Service provides an invisible means of delivering proactive protection to consumers. Using advanced anomaly detection technology, the service detects fraudulent logins and transactions in real-time without affecting legitimate user's web experience. The solution takes a self-learning approach to fraud detection, adapting to customer usage habits unique to that individual. Using policies and pattern recognition technology, the service flags potentially fraudulent activities based on known types of fraud and behaviours not associated with the user.

Identity Protection

Because the service is self-learning, it can adapt to changing criminal behaviour without manual intervention. This non-intrusive approach does not require any change to a Web site and remains invisible to the consumer until a fraud is detected.  If the system detects a suspicious transaction, end users can quickly confirm their identities using an automated system.

This automated system may query the user to identify themselves further with any of the following types of credentials: one time password, unique question and answer, or a customer service call.  In most cases, an end user can be authenticated without any actual intervention or change to the current web experience.

There are four key benefits to VIP Fraud Detection Service

  • Invisible to the consumer 
    VIP Fraud Detection Service does not change the user experience; users log into the web site the same way that they always do.
  • Easy to deploy 
    VIP Fraud Detection Service is a server-side only solution that requires no changes for the end user.
  • Intelligent 
    VIP Fraud Detection Service includes both rule-based systems and a self-learning behavioural engine to identify fraud. As an extra benefit, VIP Fraud Detection Service integrates with the VIP Fraud Intelligence Network
  • Low cost compliance 
    VIP Fraud Detection Service is an economical way to address compliance with government regulations, such as the FFIEC rules.

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