TransUnion Unveils Enhancements to Next-Generation Device Risk Solution to Combat Rising Fraud Losses
1. TransUnion enhances Device Risk solution to combat escalating fraud.
2. New features improve fraud detection rates by up to 50%.
3. The solution aids financial institutions in managing complex fraud challenges.
4. Fraud costs businesses 7.7% of annual revenue, highlighting urgency for solutions.
5. Adaptive Machine Learning enables real-time updates to fraud detection strategies.
The enhanced capabilities of TRU's Device Risk solution position it favorably in a growing, vital market. Historical trends show that innovative fraud prevention tools can boost market confidence and share prices.
How important is it?
The advancements in TRU's services reflect a timely response to growing fraud issues, likely to attract new clients and revenue.
Why Short Term?
Immediate interest in fraud prevention solutions can spur TRU's market performance. Historical examples include rapid stock price increases following product innovations in tech companies.
CHICAGO, Dec. 09, 2025 (GLOBE NEWSWIRE) -- TransUnion (NYSE:TRU) has introduced a major advancement to its Device Risk solution, delivering next-level capabilities that redefine how businesses combat fraud. This breakthrough empowers organizations to identify risky devices with unprecedented precision, uncover hidden anomalies, and dynamically optimize fraud strategies in real time—helping them stay ahead of increasingly sophisticated threats.
The enhancements come as fraud continues to escalate at an alarming pace, costing businesses an average of 7.7% of annual revenue—totaling $534 billion. As fraudsters deploy increasingly sophisticated tactics, businesses need advanced tools to protect their customers and revenue.
Devices with risky attributes, suspicious histories or questionable associations often drive fraud losses. Financial institutions including lenders, retail banks, fintechs, and others, struggle to identify new or unfamiliar devices that match known fraud patterns, making early detection a persistent challenge.
"Our Device Risk solution is a game-changer for organizations facing complex fraud challenges," said Steve Yin, global head of fraud at TransUnion. "Whether it's preventing account takeover in financial services, stopping synthetic identity fraud in e-commerce or blocking automated bot attacks on digital platforms, our enhanced capabilities give businesses the intelligence and agility they need to gain a clear picture of identity and protect customers and revenue."
Key enhancements to Device Risk include:
Cross-session device identification: Recognize and track devices across multiple sessions and platforms without relying on cookies, ensuring consistent identification even as privacy regulations evolve. This approach reduces dependence on cookies while maintaining strong compliance with privacy standards and delivering reliable device recognition for fraud prevention.
Adaptive Machine Learning (ML): Leverage advanced ML models and dynamic rule strategies that deliver significant performance improvements, boosting fraud detection rates by up to 50% compared to static device recognition alone. These models continuously adapt to evolving fraud patterns and incorporate feedback from confirmed fraud cases, ensuring your defenses remain agile and effective over time.
Advanced Anomaly and Evasion Detection: Detect and flag virtual environments, remote access tools, and automated bot activity while strengthening resistance to user manipulation techniques. By making it harder for fraudsters to bypass detection, this capability helps organizations proactively block suspicious behaviors and maintain trust in digital interactions.
Device Risk analyzes thousands of device attributes and behavioral signals in real time to generate a unique device fingerprint. It evaluates key risk indicators, including device integrity, behavioral patterns and environmental context.
By combining these insights with adaptive machine learning, Device Risk continuously refines risk scoring and fraud detection strategies. Businesses can integrate the solution into existing workflows via APIs, enabling instant decisions and seamless customer experiences. When used in conjunction with TransUnion's IP Intelligence, the authoritative source of IP decisioning data on 99.99%* of IP addresses worldwide, customers can even further reduce potential risk for each transaction.
"Ultimately, Device Risk is particularly critical for industries where trust and security drive customer confidence," said Yin. "It helps empower financial institutions, retailers, and digital platforms to protect users, transactions, and brand integrity."
TransUnion is a global information and insights company with over 13,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.