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NICE Uses IP Geolocation Data for Critical Insights

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Scenario

NICE, a leading provider of financial crime, risk and compliance solutions, serves the world’s top banks by helping prevent fraud and managing risk in real time. As more of its clients take advantage of mobile banking and online services, fraudsters are doing the same – using account takeovers and social engineering to drain accounts and drive losses.

To stay ahead, NICE’s clients rely on fraud detection powered by an Integrated Fraud Management (IFM-X) platform that leverages vast sets of identity, device and behavioral data. But without reliable IP intelligence as a core input, they lack the confidence to accurately verify each interaction is truly coming from a legitimate customer.

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“Our clients operate in an increasingly complex environment that requires scalable fraud coverage, and the robust IP geolocation data delivered by IP Geolocation allows our best-in-class fraud detection and prevention solutions to continually create value for our customers.”

- Yuval Marco, General Manager, Fraud and Authentication Management at

Strategy

TransUnion® IP Geolocation offers critical data insights that give businesses like NICE the confidence to determine whether a customer is a true customer.

The IFM-X platform incorporates IP Geolocation data to evaluate factors like whether an IP address matches past activity and if its location is consistent over time. It can also identify the presence of proxies or anonymizers — revealing whether connections are private or anonymized — and flag them for further investigation.

Combined with other datasets, IP Geolocation plays a key role in NICE’s risk calculations and decisioning models. In a landscape where fraud tactics evolve rapidly, clients depend on highly accurate data to build dynamic rules and respond to emerging threats. These insights enable NICE’s clients to strengthen their strategies, refine risk analysis and better protect against fraud.

Results

By incorporating IP Geolocation data into its decisioning platform, NICE adds value for its clients by identifying potential business risks. Armed with these insights, clients can enrich their AI/ML risk models, adjust policy rules as needed or enhance their investigations of fraud areas.

To develop the level of data and intelligence provided by IP Geolocation in house, NICE would have had to stray from its focus on and expertise in detecting fraud. Now, the company has no need to explain how it performs IP geolocation. It’s sufficient to say it uses TransUnion.

Learn how IP Geolocation drives confidence in customer legitimacy. 

 

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