Overview

For over 40 years, the Mark Travel Corporation has owned and managed several successful vacation brands, including their flagship, Funjet Vacations. Mark Travel is trusted by the world’s leading airlines and hoteliers to manage their vacation brands. With service to more than 1,100 destinations worldwide, Mark Travel and its vacation companies provide value, superb care and complete “end-to-end” experience for customers including Southwest Vacations, United Vacations, and Blue Sky tours.

Business Problem

As the world becomes increasingly connected, a rising number of travel reservations are booked through online platforms. However, there has also been a corresponding increase in payment fraud, costing the travel industry hundreds of millions of dollars each year. Loyalty points are also an attractive target for fraudsters due to lack of security. Small to midsize travel companies are especially vulnerable to attacks, as they typically conduct more business online and are not large or sophisticated enough to have robust automated fraud detection systems.

Mark Travel was looking for a fraud tool with the capability to completely customize their policy based on varying product requirements. They also wanted to add an additional layer of fraud review to bookings made from their call center and travel agents. Unfortunately, their current fraud solution for online bookings already left resources operating at full capacity, with nights and weekends dedicated to manual fraud reviews. Mark Travel needed a more effective and efficient approach to fraud review that had the ability to scale as necessary and didn’t cause friction for trusted users.

The Power of Global Shared Intelligence to Detect High-risk Events in Real Time

The best way to tackle complex, global cybercrime is using the power of a global shared network. The ThreatMetrix Digital Identity Network collects and processes global shared intelligence from millions of daily consumer interactions including logins, payments, and new account applications. Using this information, ThreatMetrix creates a unique digital identity for each user by analyzing the myriad connections between devices, locations, and anonymized personal information. Behavior that deviates from this trusted digital identity can be accurately identified in real time, alerting Mark Travel to potential fraud. Suspicious behavior can be detected and flagged for review, step-up authentication or rejection before a transaction is processed, creating a frictionless experience for trusted users.

The best way to tackle complex, global cybercrime is using the power of a global shared network.

Key Features of the ThreatMetrix / Mark Travel Partnership

  • ThreatMetrix Smart ID identifies returning users that wipe cookies, use private browsing, and change other parameters to bypass device fingerprinting. This improves returning user detection and reduces false positives. Derived from the analysis of many browsers, plug-in, and TCP/IP connection attributes, Smart ID generates a confidence score that detects multiple fraudulent account registrations or log in attempts.
  • Deep connection analysis technologies give Mark Travel a clearer view of suspicious events. Fraudsters often attempt to hide behind location and identity cloaking services such as hidden proxies, VPNs and the TOR browser. With Proxy piercing technology, ThreatMetrix examines TCP / IP packet header information to expose both the Proxy IP address and True IP address. These techniques help Mark Travel gain detailed network level signals for more accurate decision making.
  • Trust Tags enable Mark Travel to differentiate between fraudsters and legitimate users. Trust can be associated dynamically with any combination of online attributes such as devices, email addresses, card numbers or any other attributes involved in accepting, rejecting or reviewing a transaction.
  • ThreatMetrix Decision Management Portal allows for the ability to add rules quickly when new fraud schemes or patterns are detected. Rules are added and then tested against the database to ensure no negative impact prior to going live.

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