Using the Factor Analysis for Information Risk (FAIR) cyber risk framework please create a presentation including the following. Do not worry about the introductionThe presentation must cover:...

Factor Analysis for Information Risk(FAIR)
Introduction
FAIR is a standard risk taxonomy and risk quantification model by The Open Group, a global standards consortium, that can express cyber risk in financial terms
The FAIR risk assessment methodology aids companies in making well-timed and informed decisions on how to prevent and remediate various forms of cyber attacks on critical data and systems.
The Factor Analysis of Information methodology first enables you to inventory, categorize, and quantify the specific assets at risk in your organization
Objectives
FAIR framework establishes a link between cybersecurity experts, business managers, and general management. This standard is designed, supported and promoted by the FAIR Institute, a professional non-profit organisation.
This approach to cyber risk analysis first proposes a taxonomy of the distinct factors that constitute risk, a collection of definitions which clarify certain concepts: risk, threat, danger, asset, control, audit.
The objectives are to analyse complex risks, to identify key data for quantification and to understand the interdependencies between risk factors.
The FAIR standard offers a taxonomy and a methodology for cyber risk analysis in all business functions.
The FAIR method explains the connections between these factors, giving a company food for thought.
Then, on the basis of logical, easy-to-explain, repeatable, and defensible scenarios, forecasts of future loss (in GBP, EUR, USD, or other currencies) can be presented to decision makers.
Methodology
The FAIR methodology relies on the taxonomy featured in the diagram below. It is based on a “frequency x magnitude” model which is applicable to all situations and exportable to all businesses.
For instance, if a company estimates that a loss event could occur once every 10 years, and that it involves a 20,000,000 USD loss, then the formula would be:
A loss event frequency (LEF) of 1/10 year x 20,000,000 USD loss = 2,000,000 USD/year.
This risk model leaves the decision makers with two ways of reducing loss exposure:
Reducing the LEF – the number of times that loss events occur;
Mitigating the amount of financial losses that would result from such events.
The results (in GBP, EUR, USD, or other currencies) may be used by different divisions of an organisation, by the board of directors, or by general management.
Enforcement of Risk...