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实例探究 > The LexisNexis® ThreatMetrix® Solution Supports Commercial Bank of Dubai’s Customer-Centric Strategy by Reducing Online Friction and More Accurately Detecting Fraud

The LexisNexis® ThreatMetrix® Solution Supports Commercial Bank of Dubai’s Customer-Centric Strategy by Reducing Online Friction and More Accurately Detecting Fraud

技术
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - 数据交换与集成
  • 网络安全和隐私 - 身份认证管理
适用行业
  • 金融与保险
适用功能
  • 商业运营
  • 质量保证
用例
  • 欺诈识别
服务
  • 网络安全服务
  • 系统集成
挑战
Simplicity and innovation lie at the heart of CBD’s core values. Championing these values in a climate of rising fraud, a diverse user base and a huge proliferation in online interactions has created a number of key challenges. CBD wanted to offer a market-leading mobile banking app that provided users with banking freedom; creating easy, fun and personalized interactions without unnecessary intervention. The threat landscape in the Gulf region is evolving; fraud is continuing to see increasing growth, while the region continues to attract an incredibly diverse population of highly-mobile, sometimes disparate workers. This has created a complexity in user behavior that incorporates, for example, high-frequency travelers and customers making high value payments.
关于客户
The Commercial Bank of Dubai (CBD) is one of the largest banks in the Gulf region, offering a range of financial products and services. CBD is committed to providing superior service and support to its customers; epitomized by its customer-centric banking services. In a landscape of rising fraud levels and a complex user base, CBD strives to make the online banking experience as frictionless as possible.
解决方案
Incorporating global digital identity intelligence with dynamic behavioral analytics, the ThreatMetrix® solution helped CBD build a more accurate profile of trusted customer behavior; reducing false positives, and improved detection of genuine fraud incidents. The LexisNexis 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, CBD were able to better distinguish between trusted customer behavior and potential fraud. Key features include Smart ID, which identifies returning users that wipe cookies, use private browsing, and change other parameters to bypass device fingerprinting. Deep connection analysis technologies give CBD a clearer view of suspicious events, and ThreatMetrix behavioral analytics help CBD to better understand genuine customer behavior while accurately detecting genuine fraud.
运营影响
  • Dramatically increased the number of transactions rated as trusted, streamlining the user experience.
  • Introduced an end-to-end decision flow so that intelligence built in one channel or event can be used throughout the customer journey.
  • Smart ID improves returning user detection and reduces false positives by analyzing many browsers, plug-in, and TCP/IP connection attributes.
数量效益
  • Reduced step-ups by 40%
  • Streamlined the number of policies from 30 to 4

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