TransUnion announces expanded ML capabilities within Device RIsk

Suspected digital fraud continues to impact businesses worldwide. In a recent TransUnion (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 capabilities within its Device Risk solution. The enhancements are designed to help organizations detect and combat increasingly sophisticated attacks, while maintaining a streamlined and trusted customer experience. Today’s announcement comes at the Merchant Risk Council’s MRC 2026 conference in Las Vegas, where TransUnion will be exhibiting its fraud solutions at Booth 422. To help businesses stay ahead of emerging threats, TransUnion Device Risk has been further powered to enable: Stronger recognition of returning devices across customers; More robust detection of non-human activity; Deeper consortium-driven insights that illuminate evolving fraud trends.