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

Fraud
Management
Authentication
Data analysis
Neustar
Dec 10, 2019
Whitepapers

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.

Some content is hidden, to be able to see it login here Login

Blue-tinted background of a man watching a webinar

Host a Webinar with the MRC

Help the MRC community stay current on relevant fraud, payments, and law enforcement topics.
Submit a Request

Publish Your Document with the MRC

Feature your case studies, surveys, and whitepapers in the MRC Resource Center.
Submit Your Document

Related Resources

There are no related Events

X
Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.
Confirm