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Refreshed analytic model in FICO® Enterprise Security Score gives users unprecedented accuracy in measuring cyber breach risk

San Jose, CA — October 11, 2017

HIGHLIGHTS:

  • The latest analytic model in the FICO® Enterprise Security Score is twice as accurate at predicting a data breach as the previous model, and more than four times as powerful as the best results claimed by competing solutions.
  • New data sources, including access to industry-standard firmographic information, allows better identification of organizations and enables key vendor management tasks.
  • The FICO Enterprise Security Score gives subscribers the ability to assess the cyber breach risk of their organization and their partners, and improves breach insurance underwriting.

Silicon Valley analytics firm FICO today announced that the latest version of its FICO® Enterprise Security Score is twice as accurate at predicting a data breach as the previous model, and more than four times as powerful as the best results claimed by competing solutions. The FICO Enterprise Security Score gives subscribers the ability to assess the forward-looking cyber breach risk of their organization and their partners, and improves breach insurance underwriting. 

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SAN JOSE, CA — October 9, 2017

Highlights:

  • FICO was named a Javelin 2017 Identity Proofing Platform Leader in the Tailored category
  • Identity proofing solutions match a digital identity to a real-life individual and assess the risk associated with a particular event.
  • FICO’s award was based on FICO® Application Fraud Manager.

Silicon Valley analytic software firm FICO announced that it was named a Leader in the Javelin 2017 Identity Proofing Platform Awards, in the Tailored category. Identity proofing solutions match a digital identity to a real-life individual and assess the risk associated with a particular event. FICO’s award was based on FICO® Application Fraud Manager. FICO was also named a Contender in the Functional category.

 

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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:

  • FICO is releasing new payment card fraud detection models focused on making card-not-present (CNP) transactions more convenient and secure.
  • CNP fraud is the leading form of card fraud in most countries
  • Based on analysis of more than 4 billion transactions, the new models can significantly reduce CNP fraud losses without increasing false positive rates.
  • The new models have been quantifiably proven to double the detection of fraudulent, high-value CNP transactions on the first attempted transaction.
  • The models will be released to FICO® Falcon® Platform customers at no additional charge. The FICO Falcon Platform protects more than 2.6 billion payment cards worldwide.

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

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