How to Incorporate Dynamic Digital Data and "Unstealable" Data Attributes in Fraud Prevention

Data analysis
Dec 10, 2019
Unlike static data -- such as a name or Social Security number, which does not change -- or credit bureau data -- which relies on periodic consumer updates -- dynamic data elements cannot be spoofed and constantly give clues as to whether consumers are in fact who they say they are. Dynamic data is not a silver bullet, but when used in combination with other types of data, it significantly increases the efficacy of fraud prevention and the ability to identify good customers. This paper examines three key fraud patterns and seven types of authentication along with important insights on leveraging dynamic data as part of a risk mitigation strategy.

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