One engine. Two inputs. One number you can defend.
Most quantification tools calculate from a single input: a posture self-report, checked against an industry-average loss dataset built for large US and EU markets. That corpus thins out fast once you leave those markets, and it was never built around your specific control environment to begin with. Saepium calibrates on two inputs instead: your compliance assessment and, where connected, your live exposure telemetry, both routed through the same Bayesian engine. The result is accurate to your organization from day one, in any geography, without waiting on someone else's dataset to catch up to you.
Bayesian inference. Monte Carlo simulation. One output a CRO and a CISO both trust.
Saepium's routing engine takes your completed framework assessment and runs it through Bayesian inference to model likelihood, then through Monte Carlo simulation to model financial impact across thousands of scenarios. The output is a loss exceedance curve: the probability, at every dollar threshold, that your losses in a given year exceed that amount.
This is the same probabilistic approach used across the insurance industry, aligned to the FAIR-MAM standard, not a proprietary black box. Your risk committee does not have to take the platform's word for the methodology. It can check the methodology against the standard.
Dual input
Two inputs, one model.
Compliance assessment
The same guided questionnaire you complete for an auditor, mapped to the framework that governs you.
Exposure telemetry
Where connected, live signal from your actual security stack: firewall, endpoint, attack surface, vulnerability data, normalized into one model.
Continuous recalculation
Every new answer or every new telemetry signal updates your risk register and your loss exceedance curve immediately. Nothing waits for a quarterly re-assessment cycle.
Outputs
What you get.
Dynamic risk register
Every finding traces back to a dollar figure, with full traceability from the original assessment answer to the final number.
Live today
Loss exceedance curve
A curve you can show a board, a regulator, or an underwriter, built from your own data rather than an industry average.
Live today
What-if simulation
Soon: test a control investment or an insurance decision before you commit budget to it.
Coming
The loss exceedance curve output, inside the platform.
