Synthetic Fraud Detection: An In-Depth Guide

Synthetic fraud detection is a method used by financial institutions to prevent fraudulent activities involving fictitious identities. It employs advanced algorithms and data analysis to identify anomalies in data and flag potential synthetic identities, helping to proactively prevent financial losses.

March 3, 2022

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Brianna Valleskey

Head of Marketing

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Synthetic identity fraud is a type of identity theft in which a criminal combines both real and fake personal information to create a new, fictitious identity that can then be used for various identity-related schemes, such as credit card fraud, bank fraud, and more. While the fraudster may use an individual's SSN, they add fake personal details, such as a fictitious name and address. This combination of identifying information often fails to show up on credit reports or other traditional detection tools used by consumers.

About the author

Brianna Valleskey is the Head of Marketing at Inscribe, where she has spent nearly five years building the company's go-to-market engine from the ground up. She leads demand generation, SEO and AEO strategy, events, content, and marketing operations — and sits at the center of Inscribe's pipeline strategy, working closely with Sales, CS, and EPD to drive growth. She co-hosts the Good Question podcast and produces Inscribe's annual State of Document Fraud report.