Microsoft Technology Licensing, LLC

Adrian Kreuziger

David Steeves

Robert Alexander Sim

Pui-Yin Winfred Wong

Mark A Nikiel

Luke Abrams

Laurentiu Bogdan Cristofor

Harry Simon Katz

Dana Scott Kaufman

Collin Tibbetts

Charles Hayden

Aaron Small

Alexa Lynn Keizur

One or more techniques and/or systems are provided for risk assessment. Historical authentication data and/or compromised user account data may be evaluated to identify a set of authentication context properties associated with user authentication sessions and/or a set of malicious account context properties associated with compromised user accounts (e.g., properties indicative of whether a user recently visited a malicious site, created a fake social network profile, logged in from unknown locations, etc.). The set of authentication context properties and/or the set of malicious account context properties may be annotated to create an annotated context property training set that may be used to train a risk assessment machine learning model to generate a risk assessment model. The risk assessment model may be used to evaluate user context properties of a user account event to generate a risk analysis metric indicative of a likelihood the user account event is malicious or safe.

Risk assessment modeling

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Seattle, WA, United States of America

Adrian Kreuziger