TransUnion today announced a suite of upgrades to its Device Risk solution, a fraud‑prevention tool used by lenders, banks and fintechs to detect and block illicit activity in real time. The new version expands the platform’s ability to analyze thousands of device attributes and behavioral signals, creating a unique device fingerprint that can be scored for risk and trigger automated mitigation actions.
The update introduces adaptive machine learning that continuously refines risk scoring, and a cookie‑less device‑identification engine that tracks users across sessions without relying on traditional tracking cookies. Coupled with TransUnion’s IP Intelligence data—which covers 99.99% of global IP addresses—the solution can improve fraud detection rates by up to 50% and reduce false‑positive rates, helping clients protect revenue while maintaining a seamless customer experience.
The enhancements arrive amid a sharp rise in sophisticated fraud schemes that cost businesses an average of 7.7% of annual revenue, or roughly $534 billion worldwide. By addressing emerging tactics such as virtual machines, remote‑access tools and automated bots, the platform aligns with evolving privacy regulations and positions TransUnion to strengthen its fraud‑prevention portfolio against a backdrop of escalating losses.
Steve Yin, TransUnion’s global head of fraud, described the upgrade as a “game‑changer” for organizations facing complex fraud challenges. He highlighted the solution’s ability to prevent account takeover, synthetic‑identity fraud and automated bot attacks, underscoring the company’s commitment to delivering high‑impact, technology‑driven risk solutions.
For clients, the new Device Risk solution offers a plug‑in API that can be integrated into existing workflows, enabling real‑time risk scoring and automated decisioning. The combination of advanced analytics, broad IP coverage and privacy‑compliant device tracking gives financial institutions, retailers and digital platforms a powerful tool to reduce transaction risk and protect revenue without compromising user experience.
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