Thousands of global banks to benefit from machine learning that more accurately detects fraud in online and mobile purchases
SAN JOSE, Calif. – October 3, 2017
Highlights:
Silicon Valley analytic software firm FICO today announced that its new Falcon consortium models for payment card fraud detection include machine learning innovations that improve card-not-present (CNP) fraud detection by 30% without increasing the false positive rate, a standard metric for fraud model performance. These new Falcon consortium models for both credit and debit cards will be available first for FICO® Falcon® Platform customers in the UK and Europe this fall, and then to customers in other markets worldwide.
More information: http://www.fico.com/en/latest-thinking/white-paper/5-keys-applying-machine-learning-ai-in-enterprise-fraud-detection
CNP fraud, which includes online card and e-wallet transactions, is the most prevalent form of card fraud in most countries. FICO and Euromonitor International found that CNP fraud represented some 70 percent of card fraud in 19 European countries, and rates are similarly high in many other parts of the world.
“Consumer convenience is driving rapid growth in online transactions. As a result, criminals are looking to use this convenience to their advantage as chip cards and other security features have made physical card fraud more difficult,” said TJ Horan, vice president for fraud solutions at FICO. “Our goal is to help card issuers promote a positive consumer experience while protecting them from financial harm. These CNP machine learning innovations are important tools to help issuers spot fraud faster, and take on even greater importance in the light of recent data breaches, which will lead to more fraud attempts.”
The Falcon consortium — a pool of anonymized transaction details collected from 9,000 financial institutions worldwide — allows FICO data scientists to test and prove the performance of new models prior to release. Developed based on analysis of 4 billion transactions, these new CNP machine learning models have demonstrated the ability to:
“Machine learning algorithms are greedy — they gobble up data,” said Dr. Scott Zoldi, FICO’s chief analytics officer. “Fortunately, our unique Falcon consortium has rich, anonymized transaction data on billions of payment cards and merchants, allowing us to build and validate algorithms that represent deep behavioral patterns. In production, these learned highly predictive behavioral variables and profiles of cardholders and merchants are updated with each transaction, in real time, in order to identify and adapt to behavioral outliers.”
For 25 years, FICO has applied AI-based behavioral analytics to detect fraudulent transactions across billions of payment transactions, with sub-second response times. The FICO® Falcon® Platform protects more than 2.6 billion payment cards worldwide. The company today holds more than 90 patents related to artificial intelligence and machine learning in fraud detection.
FICO (NYSE: FICO) powers decisions that help people and businesses around the world prosper. Founded in 1956 and based in Silicon Valley, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 175 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in more than 100 countries do everything from protecting 2.6 billion payment cards from fraud, to helping people get credit, to ensuring that millions of airplanes and rental cars are in the right place at the right time. Learn more at http://www.fico.com.
Join the conversation at https://twitter.com/fico & http://www.fico.com/en/blogs/.
For FICO news and media resources, visit www.fico.com/news.
FICO and Falcon are registered trademarks of Fair Isaac Corporation in the United States and in other countries.
Contacts:
| Media: | Investors/Analysts: |
| Greg Jawski for FICO Porter Novelli +1 212-601-8248 greg.jawski@porternovelli.com
|
Steven Weber FICO +1 800-213-5542 investor@fico.com |
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