Platform · Risk
Put a dollar range on cyber risk.
Venevor models loss with FAIR-aligned Monte Carlo simulation, so you can compare treatments in the terms a board uses.
- FAIR
- aligned Monte Carlo
- Seeded
- reproducible runs
1Method
Loss ranges built on a stated method.
A high, medium or low rating cannot be added up or set against a budget. Venevor simulates event frequency with a Poisson distribution and loss factors with modified-PERT. The result is a loss range in dollars.
2Reproducibility
The same inputs give the same answer.
A model that changes every time it runs is hard to defend. Venevor runs are seeded and reproducible. Assumptions go through approval.
What it does
Runs with a seed, so a result can be reproduced.
3Decisions
Compare treatments before you spend.
Spending on the wrong fix is the expensive mistake. Venevor compares treatments and rolls risks up into a portfolio view. Incident loss entries feed the model, and reassessment keeps it current.
Capabilities
What's included.
Monte Carlo simulation
Poisson event frequency and modified-PERT loss factors.
Assumption approval
Assumptions are approved before you rely on them.
Treatment comparison
Set treatments side by side to see what each one changes.
Portfolio roll-up
See loss across the whole portfolio of risks.
Reassessment
Revisit a risk when conditions change.
Incident losses
Loss entries from incidents feed the model.
Works with
Connected to the rest of Venevor.
FAQ
Common questions.
Is this FAIR?
It is FAIR-aligned. Event frequency uses a Poisson distribution and loss factors use modified-PERT, simulated with Monte Carlo.
Can a run be reproduced?
Yes. Runs are seeded, so the same inputs and seed give the same result.
Where do loss inputs come from?
From approved assumptions, and from loss entries recorded on incidents.
Talk about risk in dollars.
Request a demo to see a Monte Carlo run and a treatment comparison.