Solutions · Risk & finance leaders
Put a defensible number on a risk.
A heat map can't tell a board what a bad year would cost. Venevor models loss as a range from approved assumptions and ties it to the evidence your teams already keep.
- FAIR
- aligned Monte Carlo
- Reproducible
- model runs
- Board
- report built in
1Financial risk
Model annual loss as a range.
FAIR-aligned Monte Carlo runs produce a distribution of annual loss from the assumptions you approve. Runs are reproducible, so the same inputs give the same answer when someone asks.
What it does
Require approval for the assumptions behind a run.
What it never does
Present a single number as a prediction.
2Treatments
Compare treatments on the exposure they remove.
Model a treatment beside the current state and compare the results. Scenarios roll up into a portfolio, so the committee sees the whole picture.
3Tolerance
Judge risks against a tolerance in dollars.
The enterprise risk register records risk tolerance in dollars. The Exposure Score adds a 0 to 1,000 view at asset, business-entity and enterprise level, with tolerance proposed and approved.
In the product
Where the risk sits today.
The register on one grid, so the conversation starts from the same picture.
Capabilities
What's included.
Board report
A built-in board report draws on the same evidence and risk records your teams work from.
Executive exposure view
Executives see exposure for each business entity, with daily history.
Portfolio roll-up
Individual scenarios roll up into a portfolio view of financial risk.
Third-party risk ratings
Vendors are scored from their questionnaire answers, and approval routes to the people your policy names.
Scheduled delivery
Reports go out on a schedule to the people who read them.
Exceptions with an expiry
An accepted gap carries a named owner and an expiry date, so acceptance is revisited.
Works with
Connected to the rest of Venevor.
FAQ
Common questions.
What does FAIR-aligned mean?
FAIR is a standard way to express information risk in financial terms. Venevor's Monte Carlo model follows that approach and produces a range of annual loss from your approved assumptions.
Are the results reproducible?
Yes. The same inputs give the same results, so a number shown to the board can be explained later.
Do we need to quantify every risk first?
No. Start with the risks that matter most. The portfolio shows which risks are not quantified yet.
See a risk in dollars on synthetic data.
We'll model a scenario and walk through the board report with you.