Machine Learning Toolbox for Cybersecurity Risk Management


Posted on in Presentations

As part of the semi-annual Information Security Risk Reviews at Microsoft, the team has devised unique use cases of machine learning utilization within the cybersecurity risk assessment domain. This talk will focus on these machine learning models and techniques, with an emphasis on the practical scenarios and case studies.

Learning Objectives:
1: Gain a machine learning toolbox.
2: Learn best ways to identify unknown-unknown cybersecurity risk categories.
3: Understand best ways to do cybersecurity incident profiling.

Pre-Requisites:
Cybersecurity / Level 200-300 knowledge; Machine learning / Level 200-300 knowledge.

Analytics Intelligence & Response

risk management risk & vulnerability assessment incident response governance risk & compliance artificial intelligence & machine learning


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