• Online, Self-Paced

In this course students will learn two advanced methods for quantifying cyber risk. The first method is Probability Tree which is a visual method for analyzing risk. The second method is Bayesian Inference which is a mathematical method for verifying risk estimates. An Excel-based workbook is provided containing both models.

Learning Objectives

This course introduces students to an Excel-based FAIR compliant model and gives them a working knowledge of the FAIR ™ standard and how to use this method for quantifying cyber risk in terms of financial impact.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Work Roles

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.