Estimate ddos attack expected loss using operational inputs you can adjust for your organization. The calculator separates the main estimate from its key cost, frequency, or timing components so security and finance teams can review assumptions, compare scenarios, and document a planning baseline. Results are estimates and should be supplemented with incident history, vendor terms, and current control evidence.
The main result expresses the modeled scenario in the unit shown. Secondary results expose the components that drive it, making assumptions easier to review and revise.
Security incident estimates are uncertain. This tool is for planning and comparison and is not legal, insurance, audit, or financial advice.
For 3 attacks, 4 hours each, $25,000 hourly revenue, 60% margin, and $35,000 response cost: each attack costs $95,000 and annual expected loss is $285,000.
The largest monetary, probability, frequency, or duration input usually has the greatest effect. Change one value at a time to test sensitivity.
Yes, where zero reflects the scenario. Inputs used as divisors must remain above zero, and the calculator will show an error when required.
No. It is a scenario-based planning estimate, not a forecast of exactly when or how an incident will occur.
Use the realistically collectible share after exclusions, deductibles, waiting periods, and coverage limits rather than the headline policy limit.
Keep baseline assumptions consistent, change only the control-related inputs, and compare the resulting exposure, cost, time, or ROI.
| Input | Unit | Role |
|---|---|---|
| Expected attacks per year | attacks | Forecast incident frequency. |
| Average disruption per attack | hours | Expected service impact duration. |
| Revenue at risk per hour | USD/hr | Revenue normally generated during affected hours. |
| Contribution margin | % | Use margin to avoid treating all revenue as economic loss. |
| Response cost per attack | USD | Provider, labor, forensic, and communications cost. |