RISK SCORING USING SUPERVISED MACHINE LEARNING

Abstract: techniques for using supervised machine learning to train risk models used to analyze group data for security risks are discussed herein. a system can receive a user input identifying risk values associated with categories or attributes of a group having access to computing resources. the system can use the risk model to generate a risk score for the group. the risk score can be used to further analyze aspects of the group or provide recommendations to reduce or eliminate security risks.

Inventor(s): CHRISTOPHER BALLES, KELLEN ARB, MICHAEL COSMADELIS, SEAN CORLIN, JEREMY FINTEL

CPC Classification: G06F21/577 ({Assessing vulnerabilities and evaluating computer system security})

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