Evaluation of Tools Used to Circumvent Anti-fraud Systems

Fraud
Management/mitigation
Device Fingerprinting
Behavioral Analytics
Aleksander Kijek -- Nethone
Mar 25, 2020
Webinars
While fraud tools are generally examined from a fraud prevention or mitigation standpoint, it is useful to consider what applications fraudsters are adopting in their ever-evolving efforts to exploit vulnerabilities in companies' technology and processes.

This webinar looks at three reasons why fraudsters use various tools, followed by insights on cookies and device fingerprinting. Next, specific fraud tools are discussed, including some which were not originally built for nefarious purposes. After sharing an overview of how fraudsters are adapting their approaches due to PSD2, the webinar closes with Q&A.

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Normally, if the customer is identified with one set of entities, we can use existing solutions for ID-mapping, which rely on “exact” matching among entities to create clusters and graphs. However, this absolute linkage will fail if the customer is associated with multiple entities or changes entities (device IDs, IP address, etc.). 

To solve this problem, we have devised a methodology for recognizing one customer, or one household, from different angles by applying several AI-driven technologies. 

Intuit’s customer recognition system reveals relationships among different entities, serving as a complement to existing linkage-based graph analytics to more quickly identify or predict the association between customer accounts. Understanding these underlying connections more quickly is one strategy for building long-lasting customer relationships.

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