Risk Assessment

FAIR (Factor Analysis of Information Risk)

Quantifies cyber and operational risk in financial (dollar) terms using loss decomposition

Rubric Type

probabilistic

Complexity

high

Extractor

risk

Required Inputs

SolveRight's AI extractor automatically derives these data points from your decision description:

  • loss event frequency
  • loss magnitude
  • asset values
  • threat capability
  • control strength

Best For

ExecutivesEngineers

How FAIR (Factor Analysis of Information Risk) Works in SolveRight

When you run a decision through SolveRight, FAIR (Factor Analysis of Information Risk) is one of up to 155 frameworks that analyze your options simultaneously. The AI extractor identifies 5 key data points from your decision description, then the probabilistic rubric computes a normalized 0-100 score for each option. This score is combined with results from other frameworks to produce your overall ranking, with contradiction detection highlighting where FAIR (Factor Analysis of Information Risk)disagrees with other methodologies.

FAIR (Factor Analysis of Information Risk) — Frequently Asked Questions

What is FAIR (Factor Analysis of Information Risk)?+
Quantifies cyber and operational risk in financial (dollar) terms using loss decomposition. In SolveRight, FAIR (Factor Analysis of Information Risk) uses a probabilistic rubric to compute a normalized 0–100 score for each option.
When should I use FAIR (Factor Analysis of Information Risk)?+
FAIR (Factor Analysis of Information Risk) is best suited for Risk Assessment decisions. It evaluates factors like loss event frequency, loss magnitude, asset values, making it valuable when you need identifying, quantifying, and mitigating potential downsides.
How does SolveRight use FAIR (Factor Analysis of Information Risk)?+
SolveRight runs FAIR (Factor Analysis of Information Risk) alongside up to 154 other frameworks simultaneously. The AI extractor identifies 5 key data points from your decision description, then the probabilistic rubric computes deterministic scores. If FAIR (Factor Analysis of Information Risk) disagrees with other frameworks, contradiction detection highlights the divergence.

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