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    • White Paper

      Applying Machine Learning To Optimize The Correlation Of Securityscorecard Scores With Relative Likelihood Of Breach

      October 15, 2020

      We conducted a study, investigating the use of Machine Learning (ML) to tune the weighting of each of the risk factors so that the total score is optimally correlated with the relative likelihood of incurring a data breach. Download the white paper to learn more.

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      Bob Sohval, PhD

      Security Ratings
    • White Paper

      Explanation Of Our Data

      October 8, 2019

      This white paper provides detail on the active and passive collection methods and signal types that are in use by the SecurityScorecard solution. The breadth and depth of the security data discussed is the foundation from which SecurityScorecard can deliver the most comprehensive cybersecurity ratings in the industry.

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      Attack Surface Management, Enterprise Cyber Risk, Security Ratings, Supply Chain Cyber Risk