Shared agentsThird-party risk
Vendor findings linked to the services they support
- Understand risk
// Cyber risk analysis
Cyber risk in the languageof business impact.
Frame security scenarios around potential business impact, keeping assumptions and uncertainty visible during risk discussions.
Impact
Scenarios expressed as potential loss
Each scenario carries a range of financial impact, so the board discusses money, not severity colours.
Assumptions
Assumptions and uncertainty in view
Frequency, magnitude and confidence are shown with every estimate, so they can be challenged.
Decisions
Investments compared by risk reduced
Model each option and compare the risk it removes against what it costs.
// Overview
What is cyber risk quantification (CRQ)?
Cyber risk quantification (CRQ) expresses cyber risk as a range of potential financial loss, calculated from how often a loss event is likely to happen and how much it would cost. It lets boards compare cyber risk with every other business risk.
DataObserve S.A.F.E quantifies risk with the FAIR model. Scenarios are grounded in MITRE ATT&CK techniques, adjusted for your measured control effectiveness, and reported in business terms with every assumption and confidence level visible.
// How a scenario is analysed
From threat toa defensible number.
Step 1
Define the scenario
Name the threat, the asset and the effect, for example ransomware on the payments platform.
// Defensible by design
Built on open standards
FAIR model
Risk as loss frequency times loss magnitude, transparently.
MITRE ATT&CK
Scenarios grounded in real attacker techniques.
NIST CSF
Results mapped to the framework your board knows.
Board reporting
A defensible dollar estimate of cyber risk.
Budget justification
Spend compared by the risk it removes.
Insurance conversations
Exposure figures to support cover decisions.
// Explore more withDataObserve
More from S.A.F.E · Understand risk
Enterprise assessment
Critical assets and findings in one scoped assessment
- Assess
Exposure management
Technical findings tied to the services they affect
- Assess
Control evidence
Control reviews organised around their evidence
- Assess
// Use cases
Cyber risk analysis: use cases
Board reporting
Report cyber exposure as a loss range and trend, in the terms the board already uses.
Budget justification
Compare security investments by the risk they remove against what they cost.
Cyber insurance
Support cover and limit decisions with exposure figures and their assumptions.
Risk appetite
Set a financial threshold for cyber risk and track exposure against it.
// FAQs
Cyber risk analysis: questions teams ask
Why express cyber risk in money?
Boards weigh every risk in financial terms. A loss range lets security compete fairly for attention and budget.
How precise are the numbers?
They are ranges with stated confidence. Assumptions stay visible so they can be challenged and improved.
Which standard is it based on?
The FAIR model, with scenarios mapped to MITRE ATT&CK and results to NIST CSF.
What is the FAIR model?
FAIR (Factor Analysis of Information Risk) is an open standard that defines risk as loss event frequency multiplied by loss magnitude. It is used to express cyber risk in financial terms.
What data does a cyber risk analysis need?
Your critical assets and their business value, threat activity, exposure from connected security tools and the measured strength of your controls. Missing inputs are shown as wider ranges, not hidden.
Is cyber risk quantification only for large enterprises?
No. Any organisation that has to prioritise security spend or report risk to a board benefits from a defensible estimate, and scope can start with a handful of critical scenarios.
