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.
#1638 · AI & Technology Tool
Phishing Expected Loss Calculator
Use this phishing expected loss 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.
Calculator
Three scenario inputsAdvertisement
Formula
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.
What the result means
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.
Example calculation
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.
Tips for better results
- Use values from the same measurement period.
- Keep percentages on a 0–100 scale.
- Compare conservative, expected, and optimistic inputs.
- Change one variable at a time.
- Save the assumptions used with each result.
Frequently asked questions
Which inputs most affect the phishing expected loss calculator result?
The result responds directly to annual incident probability, loss per incident, and control reduction as shown in the formula.
Can I use zero in this phishing expected loss calculator?
Zero is accepted where mathematically valid, but denominator inputs must be greater than zero to prevent an undefined result.
Why is the result an estimate rather than a guarantee?
The calculation uses the values entered and cannot capture every operational, market, or behavioral factor.
How often should I update the inputs?
Update the inputs whenever the underlying period, costs, volume, or operating assumptions change.
Can I compare two scenarios with this calculator?
Yes. Record the first result, change one assumption at a time, and compare the recalculated output.
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Input and unit reference
| Input | Unit | Role |
|---|---|---|
| Annual incident probability | % | Formula variable A |
| Loss per incident | $ | Formula variable B |
| Control reduction | % | Formula variable C |