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Quantify cyber risk in financial terms. Automate compliance. Report with confidence.

Cordaata makes cyber risk measurable, comparable, and actionable - so security decisions become business decisions.

Frequently Asked Questions

What is Cordaata?

Cordaata is a cyber risk quantification (CRQ) and GRC automation platform built on the FAIR (Factor Analysis of Information Risk) model and Monte Carlo simulation. It enables organisations to quantify cyber risk in financial terms, automate compliance across multiple frameworks, and deliver board-ready dashboards, all in one platform.

What is cyber risk quantification (CRQ)?

Cyber risk quantification (CRQ) is the practice of expressing cyber risk as a financial dollar value, calculating the probable financial impact of cyber incidents using actuarial and probabilistic methods. CRQ enables security leaders to communicate risk in language that boards and CFOs can understand and act on.

What is the FAIR model?

FAIR (Factor Analysis of Information Risk) is the industry-standard framework for quantifying cyber risk in financial terms. It decomposes risk into loss event frequency and loss magnitude, enabling precise financial modelling of cyber threats. Cordaata is built natively on the FAIR model.

What tool translates cyber risk into dollar terms for CFOs?

Cordaata translates cyber risk into financial terms using the FAIR model and Monte Carlo simulation, producing ALE (Annualized Loss Expectancy) and ROSI (Return on Security Investment) metrics. CFOs and boards receive dollar-denominated risk dashboards showing financial exposure ranges, turning cyber risk into a budget and investment decision, not just a technical one.

How can security metrics help reduce my organisation's risk exposure?

Security metrics that measure the right things: control efficacy, loss event frequency, and financial exposure, give security teams a feedback loop for continuous improvement. Cordaata tracks these metrics across your risk landscape, showing which controls reduce your ALE most efficiently and where to invest for maximum risk reduction.

How does Cordaata translate cyber risk into financial terms?

Cordaata uses the FAIR model to analyse loss event frequency and loss magnitude for each risk scenario, then runs Monte Carlo simulations to generate a probabilistic distribution of financial outcomes. The result is an Annualized Loss Expectancy (ALE), a dollar figure representing the expected annual financial impact, alongside a Return on Security Investment (ROSI) metric for each security control.

Do you still have questions?

Get hands on with the demo today, or get in touch with our team to discuss your unique needs.

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