An example. Everyone sees the same numbers. Make your own copy to change anything, or start from scratch.

Start from scratch

Another example: Business Disruption →

1

Data breach is the biggest risk: 50% of the expected loss. Expected loss is €1.6M a year in total. 16% of years pass your once-in-20-years limit (€3M); you accept 5%.

Against your tolerance, in one year

  • Almost every year you accept losing more than €200k. Today that happens in 57% of years.
  • Half the years you accept losing more than €800k. Today that happens in 38% of years.
  • Once in 20 years you accept losing more than €3M. Today that happens in 16% of years — over your tolerance.
  • Whole curve: Over your tolerance from €1.2M up.

Scope

Illustrative example scenario for demo purposes -- insider and external data exposure risk, evaluated against security tooling investment.

EUR · 3-year horizon

Loss tolerance

€3,000,000 a year, about once in 20 years

Shaped as a curve: €200,000 almost every year, €800,000 half the years

Loss scenarios

Insider data exfiltration Exp. loss €310,875/yr
Rate of occurrenceOnce every 5 years (Somewhat sure)
Primary loss€350,000 typical / €3,500,000 worst case
Secondary loss60.0% chance — €300,000 / €4,000,000
Records2500–1800000
Actor(s)Internal
ActionMisuse
Impact(s)Confidentiality
Data exposure Exp. loss €514,840/yr
Rate of occurrenceOnce every year (Somewhat sure)
Primary loss€100,000 typical / €1,500,000 worst case
Secondary loss30.0% chance — €200,000 / €1,500,000
Records20–15000
Actor(s)Internal
ActionError
Impact(s)Confidentiality
Data breach Exp. loss €821,170/yr
Rate of occurrenceOnce every 5 years (Somewhat sure)
Primary loss€1,500,000 typical / €8,000,000 worst case
Secondary loss75.0% chance — €1,000,000 / €7,500,000
Records3500–200000
Actor(s)External
ActionHacking Social
Impact(s)Confidentiality
2 What actions are we considering? 3 Is our project rational?