# Quantify risk in dollars

Your visibility tools already surface hundreds of findings. The hard part isn't
finding them — it's knowing which ones actually matter. A 1–100 severity score
tells you *how bad*; it doesn't tell you *how much*. When everything is flagged
urgent, nothing gets fixed. Axiad Mesh turns that flat list into a ranked set of
decisions by putting a **dollar figure** on each risk.

## From score to money

Alongside the [risk score](../concepts/risk-scoring.md), Mesh quantifies risk
using the industry-standard **FAIR** model, expressed as an **annual loss
expectancy** — the yearly financial exposure a risk represents. See
[Risk quantification](../concepts/risk-quantification.md) for how the model
works — the factor decomposition, the simulation, and how each risk family
maps to loss frequency and magnitude.

This reaches beyond people: human and non-human identities carry the same
risk scoring and ranking, and dollar quantification covers your identity
risks — including the service accounts that live inside your user
populations. A service account with broad access and weak credentials can
rank above a low-privilege human account even if its raw severity looks
similar.

## Rank, don't triage

Because each risk carries a dollar figure, Mesh can **rank** them by impact
instead of leaving you to triage a flat list. You act on the handful of risks
that reduce the most exposure, and Mesh **rescores dynamically** as your
environment changes — so the priority list stays current instead of going stale
the moment it's generated.

## Put it in front of the board

In an agent-composed [workspace](../user-guide/generative-ui/index.md), quantification
appears as a family of live widgets: a headline annual-loss figure, a
probabilistic loss distribution, a breakdown of where the loss comes from, the
reduction your remediation has already delivered, and a quarterly trend. The
**Executive View** persona workspace leads with these, so a CISO can put risk in
the language a board understands — money and movement, not a longer list of
findings.

![An Executive View workspace in Axiad Mesh Generative UI, leading with the organization risk score, total annual loss exposure, tracked programs, the risk trend, and the morning briefing](/img/generative-ui/executive-view.png)

## Close the loop

Quantification isn't the end — it's what makes prioritization honest. From the
ranked list you drive [remediation](../concepts/remediation.md), and as fixes
land, the loss figure and its trend come down on the next collection cycle. That
turns "we have a lot of findings" into "we reduced exposure by this much this
quarter."

## Related

- [Risk quantification](../concepts/risk-quantification.md) — the FAIR
  methodology behind the dollar figures.
- [Risk scoring](../concepts/risk-scoring.md) — the scores and FAIR loss model.
- [Remediation](../concepts/remediation.md) — acting on the ranked list.
- [Generative UI](../user-guide/generative-ui/index.md) — the Executive View that leads
  with dollars.