How to use this calculator
- Enter annual incident probability.
- Add loss per incident and control reduction.
- Select Calculate and review the main estimate.
- Change one assumption to compare scenarios.
Use this ransomware risk exposure calculator to turn a small set of operating assumptions into a transparent planning estimate. Enter annual incident probability, loss per incident, control reduction, then review the primary result and two supporting figures. The page shows the exact formula, a worked example, and practical interpretation notes so you can compare scenarios without treating the output as a guarantee.
Expected loss = (probability ÷ 100) × loss per incident × (1 − control reduction ÷ 100)
The three displayed input units are applied exactly as labeled; percentages are converted to decimals inside the calculation.
The primary figure is the calculated expected annual loss. The supporting values separate important components so the result is easier to audit and compare.
This planning estimate depends on the accuracy of your inputs and does not replace a detailed operational, financial, or security assessment.
Using annual incident probability = 10, loss per incident = 50000, and control reduction = 25, substitute the values into the displayed formula. The calculator applies the same arithmetic and formatting used by the live result.
The result responds directly to annual incident probability, loss per incident, and control reduction as shown in the formula.
Zero is accepted where mathematically valid, but denominator inputs must be greater than zero to prevent an undefined result.
The calculation uses the values entered and cannot capture every operational, market, or behavioral factor.
Update the inputs whenever the underlying period, costs, volume, or operating assumptions change.
Yes. Record the first result, change one assumption at a time, and compare the recalculated output.
| Input | Unit | Role |
|---|---|---|
| Annual incident probability | % | Formula variable A |
| Loss per incident | $ | Formula variable B |
| Control reduction | % | Formula variable C |