FAIR Risk Quantification, Applied to Real Environments
FAIR — Factor Analysis of Information Risk — is the open international standard for quantifying cyber risk in financial terms. It gives cyber risk the same analytical footing that credit and market risk have had for decades.
What the FAIR model measures
FAIR decomposes risk into two things that can each be estimated: how often a loss event is likely to occur, and how much loss is likely when it does. Frequency and magnitude are then combined to produce a distribution of probable annual loss.
Each of those factors decomposes further — threat event frequency and vulnerability drive the first; primary and secondary loss drive the second. The decomposition is what makes the result auditable: every figure traces back to a stated assumption someone can challenge.
Because FAIR is an open standard rather than a vendor method, the reasoning behind a number can be reviewed by your auditors, your regulator and your board without taking a supplier's word for it.
Why FAIR rather than a proprietary score
It is inspectable
Every input is a stated assumption. A proprietary risk score that cannot be decomposed cannot be defended in an audit.
It produces ranges, not false precision
FAIR results are distributions. A single-point figure implies a confidence nobody has about cyber loss.
It is comparable across the estate
The same model applied to two business services produces two figures on the same scale.
It travels outside security
Finance and risk functions already reason in probable loss. FAIR meets them where they are.
How 4sight implements FAIR
Scenario definition
Loss scenarios are defined around business services — payment operations, customer data, regulatory reporting — rather than around individual assets.
Calibrated estimation
Frequency and magnitude inputs are captured as ranges with explicit confidence, which is what makes the output a distribution rather than a guess.
Telemetry-driven inputs
Where TrustCore is connected to your security stack, control state informs the vulnerability side of the model instead of being re-entered by hand.
Board-ready output
Results are rendered as financial exposure against named business services, which is the form a board can act on.
Frequently asked questions
Is FAIR an official standard?
FAIR is maintained as an open standard and is widely used for quantitative cyber risk analysis. Being open is the point: the model can be reviewed independently rather than accepted on a vendor's assurance.
Can FAIR results be used in a regulatory filing?
FAIR produces defensible, decomposable estimates that can support regulatory and board reporting. Whether a specific figure satisfies a specific filing requirement depends on that regulator and that filing — confirm the requirement before relying on it.
Do our analysts need to be trained in FAIR to use this?
Using 4sight does not require your team to be FAIR practitioners. TrustSphere also runs cybersecurity and GRC training if you want the capability held in-house rather than supplied.
How does FAIR handle scenarios we have never experienced?
That is what FAIR is designed for. Estimates are calibrated from industry data, comparable events and expert judgement, expressed as ranges wide enough to reflect the genuine uncertainty.
Related
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