Risk Quantification: From Qualitative to Quantitative

Learn how to move beyond subjective risk assessments to data-driven, quantitative approaches that enable better decision-making.

The Problem with Qualitative Risk

Traditional risk assessments often rely on subjective ratings like "High," "Medium," and "Low." While simple, these approaches have significant limitations:

  • Different people interpret ratings differently
  • Can't compare risks across different domains
  • Hard to justify security investments to leadership
  • Doesn't translate to business terms

What is Quantitative Risk?

Quantitative risk assessment assigns numerical values to risks, typically in financial terms:

  • ALE (Annual Loss Expectancy): Expected yearly financial loss
  • SLE (Single Loss Expectancy): Financial impact of a single incident
  • ARO (Annual Rate of Occurrence): Probability of incident per year

FAIR Framework

Factor Analysis of Information Risk (FAIR) is a leading quantitative risk framework:

  • Provides standardized taxonomy for risk
  • Uses ranges to account for uncertainty
  • Produces defensible financial estimates
  • Enables comparison of different risks

Benefits of Quantification

  • Speak the language of business (dollars and cents)
  • Justify security budgets with ROI
  • Prioritize based on potential financial impact
  • Make data-driven decisions

Scapien's Risk Quantification

Scapien ties every security finding to its potential business impact, helping you prioritize remediation efforts where they'll have the greatest effect on reducing organizational risk.