Inputs
Formula used
First, the calculator totals enabled cost components. Then it applies a combined multiplier for industry, region, data sensitivity, and security maturity.
Tip: If you already use an all-in “cost per record” benchmark, disable overlapping components to avoid double counting.
How to use this calculator
- Enter records breached and key operational assumptions.
- Fill response, legal, downtime, productivity, and churn fields.
- Adjust multipliers to reflect your environment and preparedness.
- Set insurance terms to estimate offsets and net exposure.
- Use low and high adjustments to stress-test uncertainty.
- Download CSV or PDF to share or document scenarios.
Example data table
| Scenario | Records | Downtime (hrs) | IR hours | Multiplier | Insurance limit | Estimated net |
|---|---|---|---|---|---|---|
| Phishing incident | 5,000 | 6 | 120 | 1.02x | $150,000 | $310,000 |
| Ransomware outage | 25,000 | 18 | 260 | 1.25x | $250,000 | $1,420,000 |
| Regulated data leak | 80,000 | 10 | 420 | 1.55x | $500,000 | $6,980,000 |
These figures are illustrative examples, not guarantees.
FAQs
1) What costs does this estimate include?
It totals record-based expenses, response and forensics, legal and fines, downtime, productivity losses, churn impact, and remediation uplift. You can switch components on or off for your scenario.
2) How should I estimate downtime cost per hour?
Use a blended value: lost revenue, SLA penalties, overtime, vendor costs, and extra recovery work. If revenue is seasonal, use peak-hour values and test with the high scenario adjustment.
3) Why are there multipliers?
Multipliers help adapt assumptions to your context. Industry, region, sensitivity, and maturity affect labor rates, enforcement pressure, response speed, and customer expectations.
4) How does insurance offset work here?
The calculator estimates payout from an insurable share of gross cost, then applies deductible, limit, and coverage percent. Real policies vary by exclusions, sublimits, and waiting periods.
5) What does the low and high range represent?
It’s a simple uncertainty band around the gross estimate. Use it to stress-test optimistic and pessimistic outcomes when you are unsure about records, downtime, or regulatory exposure.
6) How can I estimate customer churn impact?
Enter customers impacted, average lifetime value, and an expected churn increase percentage. If you have monthly ARPU instead, convert it to a lifetime value or test multiple CLV values.
7) Can I use this for ransomware events?
Yes. Model ransomware with higher downtime hours, higher response and forensics costs, and a larger uplift budget for hardening. Add likely fines or settlements if data exfiltration occurred.
8) How do I avoid double counting?
If a benchmark “cost per record” already includes response or legal costs, disable overlapping components. Keep the model consistent: either use granular components or broad benchmarks, not both.