Free quantitative risk analysis calculator. Compute SLE, ALE, and safeguard ROI with interactive charts and PDF export for security risk assessments.
Quantitative risk analysis assigns numerical values — dollar amounts, probabilities, and expected losses — to security risks, enabling data-driven decisions about security investments. Unlike qualitative risk assessment (which uses subjective scales like High/Medium/Low), quantitative analysis calculates the expected monetary impact of threats, allowing direct comparison between the cost of security controls and the losses they prevent.
The FAIR (Factor Analysis of Information Risk) framework is the most widely adopted quantitative risk analysis model in cybersecurity. It decomposes risk into measurable factors: threat event frequency, vulnerability, and loss magnitude, producing dollar-denominated risk estimates that executives and boards can act on.
| Metric | Formula | Description |
|---|---|---|
| SLE (Single Loss Expectancy) | Asset Value x Exposure Factor | Expected loss from a single incident |
| ARO (Annualized Rate of Occurrence) | Historical frequency or estimated probability per year | How often the threat is expected to occur |
| ALE (Annualized Loss Expectancy) | SLE x ARO | Expected yearly loss from a specific threat |
| Risk Reduction | ALE (before control) - ALE (after control) | Annual savings from implementing a control |
| ROI | (Risk Reduction - Control Cost) / Control Cost | Return on security investment |
| Factor | Value |
|---|---|
| Asset value (customer database) | $5,000,000 |
| Exposure factor (data breach) | 40% |
| Single Loss Expectancy | $2,000,000 |
| Annualized Rate of Occurrence | 0.2 (once every 5 years) |
| Annualized Loss Expectancy | $400,000/year |
| Proposed control cost (DLP system) | $150,000/year |
| Risk reduction with control | 70% |
| Residual ALE | $120,000/year |
| Annual savings | $280,000/year |
| ROI | 87% |
Quantitative risk analysis uses numerical values and formulas to measure risk in monetary terms. Key formulas include: Single Loss Expectancy (SLE) = Asset Value x Exposure Factor, and Annualized Loss Expectancy (ALE) = SLE x Annual Rate of Occurrence (ARO). This approach helps organizations make data-driven decisions about security investments.
Safeguard ROI is calculated as: (ALE before safeguard - ALE after safeguard) - Annual Cost of Safeguard (ACS). A positive result means the safeguard is cost-justified. This tool automatically computes ROI and shows the breakeven point where security investment pays for itself.
SLE (Single Loss Expectancy) represents the monetary loss from a single occurrence of a threat event. ALE (Annualized Loss Expectancy) accounts for how often that event occurs per year by multiplying SLE by the Annual Rate of Occurrence (ARO). ALE gives you the expected yearly cost of a specific risk.
Exposure Factor (EF) is the percentage of an asset that would be lost if a threat is realized, expressed as a value between 0% and 100%. For example, if a server worth $50,000 would be 60% damaged by a flood, the EF is 0.6 and the SLE would be $30,000.
Quantitative analysis uses specific dollar amounts and probabilities, producing concrete financial metrics like ALE. Qualitative analysis uses subjective ratings (High/Medium/Low) and risk matrices. Quantitative is more precise but requires more data; qualitative is faster but less precise. Both are covered in CISSP Domain 1.
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