Core Insights - TransUnion has announced enhancements to its Device Risk solution to combat the rising threat of digital fraud, which has resulted in reported losses of $534 billion globally according to a survey of 1,200 business leaders [1][5] Group 1: Enhancements and Features - The new machine learning capabilities aim to improve fraud detection accuracy while ensuring a seamless customer experience, introduced at the Merchant Risk Council's MRC 2026 conference [2] - The updates include pre-built adaptive machine learning models that learn from device signals and fraud feedback, enabling proactive detection of anomalies and evasion attempts [3] - These enhancements are expected to improve fraud capture rates by up to 50%, reduce the complexity of manual rules, and lower operational overhead [3] Group 2: Industry Trends - Digital fraud is on the rise, with organizations losing an average of 7.7% of their annual revenue to fraud over the past year [5] - Suspected digital account takeovers increased by 141% from H1 2024 to H1 2025, while suspected digital fraud related to account creation grew by 26% during the same period [6] Group 3: Company Strategy - TransUnion's enhancements reflect its commitment to staying ahead of advanced fraud tactics by integrating richer device-level intelligence with adaptive machine learning [7] - The company aims to empower customers to operate with greater confidence across various digital interactions, including logins, transactions, and account creation [7]