Course Release Date: May 25th, 2022
D131 - Privacy Risk
Approximate Length – 40 Minutes
Intended Audience – Privacy Engineers and other Privacy Professionals, Software Developers, Managers, Architects and Engineers
How can we assess privacy risk in a reliable and precise way? Qualitative measures are not the best option. Quantitative measures, on the other hand, provide invaluable insights that lend themselves to practical use. This course explains why this is the case, while introducing students to the quantitative Factors Analysis of Information Risk (FAIR) methodology. Originally developed to assess information security risk, FAIR is now additionally used to assess privacy risk based on three primary factors (frequency, magnitude, and secondary consequences), along with their respective subcategories of factors, all of which are explored in this course.
- Factors Analysis of Information Risk (FAIR)
- Privacy Risk Assessment and the Importance of Quantitative Measures
Upon completion of this course, students should understand the basics of the Factors Analysis of Information Risk (FAIR) methodology and its application to privacy risk assessment, as well as the value of using quantitative measures in a privacy risk context.