Synthetic identity theft: 

Does your identity verification workflow  detect synthetic identities?

Synthetic identity theft increased 132% globally in 2022 according to TransUnion and has surpassed credit card fraud and traditional identity theft as the fastest growing crime in the world. 

In this eBook, explore the rising threat of synthetic identity theft, a sophisticated fraud tactic where criminals combine real and fake personal information to create believable identities. 

Find out the challenges of detecting these identities and discover solutions for businesses to protect themselves.

Download this eBook and learn more about:

• The unique characteristics of synthetic identities, how they differ from stolen identities and why traditional fraud detection methods often fail to identify them. 
• The power of dynamic identity attributes and how analyzing attributes like name, phone number, email address and IP address can help uncover synthetic identities and help to make more informed risk decisions.
• Implementing a multi-layered approach to fraud prevention that combines rules-based decisioning, machine learning and dynamic identity attribute analysis.

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