Skip to main content
View as MarkdownOpen in ChatGPTOpen in Claude

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, Mesh quantifies risk using the industry-standard FAIR model, expressed as an annual loss expectancy — the yearly financial exposure a risk represents. See From scores to loss estimates for how the model works.

This covers every kind of identity, not just people: the financial cost of a compromised human, machine, or agent identity is scored the same way, so 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, 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

Close the loop​

Quantification isn't the end — it's what makes prioritization honest. From the ranked list you drive remediation, 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."