ADVANCED6 lessons · 6 quizzes

Risk Quantification with FAIR

Qualitative categories can screen and route risks, but an ordinal label cannot by itself estimate probable loss or compare a control's lifecycle cost with the uncertainty it may reduce. FAIR (Factor Analysis of Information Risk) decomposes a defined loss-event scenario into the probable frequency and probable magnitude of future loss. FAIR is commonly used for financial quantification, although the current model can also support non-financial or qualitative measurement.

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01

Qualitative Risk Limits and Quantitative Alternatives

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Lesson 1 of 6

02

The FAIR Ontology

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Lesson 2 of 6

03

Estimating FAIR Inputs

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Lesson 3 of 6

04

Monte Carlo Simulation and Analysis Output

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Lesson 4 of 6

05

Communicating Quantitative Risk

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Lesson 5 of 6

06

Building a FAIR Risk Program

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Lesson 6 of 6