UBS
UBS card center stopped 74% more card fraud.
Customer Profile
Keep fraud rates down and customer satisfaction rates high
UBS Card Center processes 25% of card transactions in Switzerland, keeping fraud rates down and customer satisfaction high. UBS has been using the FICO® Falcon® Platform for the past 20 years and working in partnership with fraud experts from FICO.UBS Card Center’s fraud team used the latest artificial intelligence and machine learning capabilities in Falcon to stop 84 percent more fraudulent transactions in 2018 than in 2015. UBS Card Center’s success has been recognized in the industry. They won the Security Innovation of the Year award at the 2019 Retail Banker International Awards. UBS Card Center also won a FICO Decisions Award for their accomplishments.
Solution
Stopping fraud with FICO® Falcon Platform
UBS Card Center’s fraud team used the latest artificial intelligence and machine learning capabilities in Falcon to stop 84 % more fraudulent transactions in 2018than in 2015. UBS Card Center’s success has been recognized as top in the industry; they won the Security Innovation of the Year award at the 2019 Retail Banker International Awards. UBS Card Center also won a FICO Decisions Award for their accomplishments.
20 Years of Success Fighting Fraud – UBS Card Center and FICO
How do you fight the changing tactics criminals use to defraud customers? The only way is to innovate, learn and adapt. That is how UBS Card Center, which processes some 25% of card transactions in Switzerland, keeps fraud rates down and cardholders happy.
Testimonials
Back in 1999, our fraud issues were to deal with lost and stolen fraud moving to counterfeit scheming when our losses were increasing, and we had to call for any solution state of the art for prevention tool. That's when Falcon came into play as the new state of the art tool. Ever since fraud trends came and went, but Falcon stayed.
Enabling Technologies
Leveraging AI, ML and Advanced Analytics
With collaborative behavioral profiles you can identify anomalies in customer behavior in real-time, without the need to apply tags to the data, making fraud detection and suspicious money movement detection more precise.
AI, ML and Advanced Analytics
Collaborative Profiling
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