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[国际会议] 数据孤岛如何帮助欺诈者.pdf

上传人: 张** 编号:168750 2024-07-06 40页 1.56MB

1、1How Data Silos Help FraudstersSVP:Global Head of FraudSteve Yin2Director:Research and Consulting Matt Fabian 2024 TransUnion LLC All Rights ReservedAgenda2024 US Financial Services Summit1.Introduction2.TransUnion Global Fraud Footprint3.Global Fraud Insights4.The Power of Data Silos5.Regional Frau

2、d Insights6.Bringing Data Together7.Driving Next-Gen Capabilities8.Conclusion3 2024 TransUnion LLC All Rights Reserved2024 US Financial Services Summit4How data silos help fraudstersIntroduction 2024 TransUnion LLC All Rights Reserved5Isolated databases exist across channels and processesWith multil

3、ayered fraud systems,complex data management practices and many channels of interaction,customer data has become segregated,leaving opportunities for fraudsters to create their own linkages Call centerWeb/AppBranchFraudKnown fraud IDsKnown fraud emails,devices,phone numbers,etc.DigitalDevice reputat

4、ion&activityEmail,phone number activityGeolocationCreditApplication dataInquiry dataPayment behaviorIdentityBureau IDGolden sourceDemographicsBiometricsChannel silosData silosSynthetic identity fraudStolen identity fraudATO fraudLoan stacking fraudMining dataCompromised credentialsForged documentati

5、on 2024 TransUnion LLC All Rights Reserved2024 US Financial Services Summit6Global Fraud FootprintTransUnion 2024 TransUnion LLC All Rights Reserved7TransUnion is powering a global movement to mitigate fraudRegional TransUnion centersCountries with clients sharing fraud information5K+clients50+count

6、ries35B+trx/year11B+devices tracked 2024 TransUnion LLC All Rights Reserved8Our global experienceDigital Onboarding in LatamIdentity Exchange in CanadaHigh Risk Fraud Alerts in IndiaA single API solution focusing on establishing digital and real-world identity whilst also confirming risk across digi

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本文主要讨论了数据孤岛如何帮助欺诈者,并提出了消除数据孤岛的解决方案。 1. 欺诈者利用数据孤岛在多渠道和多流程中存在的间隙进行欺诈活动。 2. 欺诈者通过在不同渠道和数据孤岛之间建立自己的联系,从而绕过多层欺诈系统。 3. 欺诈者利用数据孤岛中的信息,如已知的欺诈ID、电子邮件、设备、电话号码等,进行合成身份欺诈、被盗身份欺诈、账户接管欺诈和贷款堆叠欺诈。 4. 欺诈者通过保持支付义务来继续访问信贷额度,从而增加信贷风险。 5. 欺诈者通过在信贷生命周期的早期获得更高的限额来增加其收益。 6. 消除数据孤岛可以帮助组织更好地理解客户,建立反馈循环,将欺诈与账户、设备和身份联系起来。 7. 连接数据将导致更好的欺诈分析和模型,从而最小化欺诈风险并主动检测可疑行为。 8. 欺诈预防措施需要跟上欺诈者日益复杂的策略。
数据孤岛如何帮助欺诈者? 如何通过连接数据孤岛来加强欺诈预防? 数据孤岛在多渠道流程中留下了哪些明显的漏洞?
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