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Exposure factor

As explained in Data-Driven Cybersecurity

An exposure factor is the percentage of an asset's value expected to be lost if a specified security incident occurs.

An exposure factor (EF) is the percentage of an asset’s value expected to be lost if a specified security incident occurs. It expresses the likely impact of that incident on that asset, rather than the incident’s likelihood. section 6.3.2

Multiply asset value (AV) by EF to estimate single loss expectancy (SLE), the loss from one occurrence. For a production database, the relevant question is how much of its value the specified incident could destroy or impair—not just how severe an associated vulnerability appears. section 6.3.2

SLE = AV x EF

The equation shows where EF enters a monetary estimate: SLE = AV × EF. section 6.3.2

Use that loss estimate alongside exploit likelihood, threat intelligence, and existing controls when prioritizing work. A high severity score alone does not establish business risk. section 6.3.2

How Data-Driven Cybersecurity covers it

How deep it goes
Defines the percentage and places it in the SLE formula, without detailing how to estimate the percentage.
Examples
Contrasts a mission-critical production database with a low-risk test environment when discussing business impact.
What you can do after
Evaluate/understand it as an input to single loss expectancy and risk-based prioritization.
How it connects
Links asset value to single loss expectancy and, through it, annual loss expectancy.

This explainer was generated by Manning's knowledge graph from the text of Data-Driven Cybersecurity. The section links point to the parts of the book it draws on.