Solutions

Cyber Risk Quantification

Move the cybersecurity conversation from red/amber/green to dollars, probabilities and ROI.

Why teams choose this

Financial loss modelling

FAIR-aligned models translate technical risk into annualised loss exposure.

Control ROI

Simulate the financial impact of every proposed security investment.

Board-ready reporting

Dashboards built for CFOs and audit committees, not just security teams.

Insurance alignment

Use the same numbers your underwriter does to negotiate cyber premiums.

$M
Loss exposure quantified
3-5x
ROI on top controls
FAIR
Aligned methodology
// features

What's included

  • FAIR-aligned quantitative risk models
  • Monte Carlo simulation of loss scenarios
  • Control-investment ROI analysis
  • Industry benchmark comparisons
  • Board and audit-committee report templates
// how it works

How it works

  1. 01
    Connect

    Add your domain or vendor list — no agents, no DNS changes. the risk model starts within minutes.

  2. 02
    Analyze

    Our engine continuously ingests open-source intelligence, scan data and threat feeds to produce an objective risk score.

  3. 03
    Act

    Receive prioritized remediations, alerts and exportable evidence — share with your team, board or auditors.

Quick Answers

Cyber Risk Quantification — frequently asked questions

Is the methodology FAIR-aligned?
Yes. Our models follow the Factor Analysis of Information Risk (FAIR) framework, the de-facto open standard for quantitative cyber risk.
Do I need a quant team to use this?
No. The platform produces dollar estimates from your existing security data — no statisticians required.
Can I customise loss scenarios?
Yes. Define your own threat events, control families and loss categories to mirror your industry and risk appetite.
What is Cyber Risk Quantification (CRQ)?
CRQ is the practice of translating cybersecurity risk into financial terms — annualized loss expectancy in dollars — so security investment can be prioritized using the same language as the rest of the business.
What is the FAIR framework?
Factor Analysis of Information Risk (FAIR) is the open international standard for quantitative cyber-risk analysis. It decomposes risk into loss-event frequency and loss magnitude, modelled with probability distributions.
How is CRQ used in board reporting?
Boards approve security budgets when risk is expressed in dollars and probabilities. CRQ outputs (annualized loss exposure, control ROI, residual risk) become standard slides in the quarterly risk-committee pack.

Ready to see Cyber Risk Quantification in action?

Talk to our team about a 30-minute walkthrough tailored to your environment, or run a free non-intrusive scan of any domain.