Take Control of Your Online Transaction Risk and Fraud Exposure

Fraud
Management/mitigation
Joshua Bower-Saul and Olaf Hofmann -- Cybertonica
Dec 02, 2020
Webinars
Cybertonica is a fraud solution provider headquartered in London which offers a range of risk mitigation products for merchants, online gaming and digital entertainment businesses, the banking sector, and payment services. In this Solution Spotlight webinar, Cybertonica's CEO and CPO provide a brief overview of the current fraud environment, then share key details about the company's AnomalyticsTM, GoFrictionlessTM, and ScreenWiZeTM products. Highlights of Cybertonica's eComm360 Fraud PreventionTM service for Shopify merchants are also included. The broadcast closes with Q&A.

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Related Resources

Mar 08, 2023
Customer Recognition System - A New Tool of Detecting Fraud

Today, link analytics has been widely used across a variety of applications and industries (e.g., telecommunications, social networking, healthcare, finance ) to identify or predict the association of different entities behind the scenes. Companies with multiple product offerings use this technology to learn from their customers’ data to provide better user experiences. 

At Intuit, our customer recognition system (named Core ID, internally)  is focused on finding out if one customer or one family/close cluster uses one or more entities to register many accounts for products, such as QuickBooks Payments and QuickBooks Payroll customers. 

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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