About Steve Yin

Suspected digital fraud continues to impact businesses worldwide. In a recent TransUnion (NYSE: TRU) survey of 1,200 business leaders, respondents reported fraud losses totaling $534 billion. To help companies combat this growing threat, TransUnion today announced expanded machine learning (ML) capabilities within its Device Risk solution.

TransUnion (NYSE: TRU) launched today a new and innovative solution designed to combat credit washing—the practice of removing legitimate, accurate and non-obsolete credit data from credit profiles. TransUnion’s industry-first Credit Washing Solution helps financial institutions detect and combat this growing threat.

With synthetic identities now linked to a record number of newly opened accounts, U.S. lenders faced more than $3.3 billion in exposure for the year ending 2024. This alarming trend underscores the urgent need for financial institutions such as auto lenders, mortgage lenders and credit unions to harness all available data to detect and prevent synthetic identity fraud at the point of account creation. New research from TransUnion (NYSE: TRU) reveals that key traits and behavioral characteristics found in public data can play a critical role in identifying these deceptive identities before they pose a risk.

A global TransUnion (NYSE: TRU) analysis found that fraud continues to significantly impact businesses and […]