What could one breached data store cost you?

A quick FAIR-style estimate for a single sensitive data store: the loss if it is breached, and an annualized figure from the yearly likelihood you choose. In the platform, Onam computes a FAIR-style loss range for each finding on your real environment — this is the shape of the math, using inputs you can defend.

Your inputs

Records in the store — how many sensitive records could be reached

Cost per record (USD) — use your own figure; the default is illustrative

Data sensitivity — multiplier on loss magnitude

Regulatory regime — highest applicable multiplier

Loss event likelihood / year 30%— chance a walkable path is exploited

Estimated annualized exposure

Loss magnitude if it happens: $0

Base (records × cost)

× sensitivity

× regulatory

In the platform, Onam applies this kind of estimate to each finding on your own cloud, raised for findings that sit on attack paths.

See your real exposure →

onamsecurity.com · one graph, risk in business terms · Figures are illustrative FAIR-style estimates, not predictions or benchmarks. Method: Whitepaper 02 — Cloud risk in dollars.