Risk Quantification
FAIR-based risk analysis for vulnerability prioritization.
Risk quantification estimates the probable financial impact of unresolved vulnerabilities using the FAIR model, giving leadership a clearer basis for prioritization than severity scores alone.
The prioritization problem
CVSS scores are useful for technical triage but don’t account for business context. A critical-severity finding on an isolated test server isn’t the same risk as a high-severity finding on a payment-processing system. Sorting by CVSS alone can misallocate remediation effort.
Risk quantification fills that gap by combining vulnerability data with asset criticality, threat intelligence, and estimated loss impact to produce financial risk estimates.
How Basirah uses FAIR
Basirah applies the Factor Analysis of Information Risk (FAIR) model, which breaks risk into two branches: how often a loss event is likely to occur, and how much it would cost if it did. Each input takes a range rather than a single number, acknowledging uncertainty instead of hiding it behind false-precision scores.
The platform combines these ranges with data from your asset inventory, threat intelligence feeds (EPSS, GreyNoise, Shodan), and configurable loss estimates to produce probability distributions of annualized loss.
Risk quantification needs asset criticality data to produce meaningful results. If your asset inventory doesn’t include criticality ratings yet, start there — without it, every asset is treated equally.
What you get
Per-finding risk scores — Each finding receives a risk score representing its estimated financial impact. Sort and filter findings by risk score to prioritize by business impact rather than raw severity.
Portfolio-level exposure — The dashboard aggregates risk across all unresolved findings into a total exposure number. As findings are remediated and verified, portfolio exposure decreases — giving leadership a direct measure of risk reduction over time.
Trend analysis — Basirah tracks risk over time so you can demonstrate reduction trajectories in board-level reporting.