FAIR Risk Quantification
Z Cyber's FAIR Risk Quantification engagement models your top loss scenarios using Factor Analysis of Information Risk with Monte Carlo simulation in our AI-native GRC platform, producing exposure figures in dollars and treatment options ranked by return. Instead of arguing about whether a risk is 'high' or 'medium', your leadership compares loss exposure against the cost of reducing it, and security spending gets defended the way every other investment does.
What's Included
Scenario selection workshop for your highest-stakes loss events
FAIR modeling with Monte Carlo simulation per scenario
Loss exposure ranges in dollars with documented assumptions
Treatment portfolio ranked by exposure reduction per dollar spent
Board-ready quantification briefing
Model handoff in our AI-native GRC platform so exposure recomputes as controls change
The team behind every engagement
Executive Security Advisor
Selects scenarios with your leadership, validates model assumptions, signs the report, and presents the results.
Senior Security Consultant
Builds the FAIR models, calibrates estimates with your data, and runs the simulations.
Security Analyst
Gathers loss data inputs and maintains scenario documentation in our AI-native GRC platform.
AI-Native GRC Platform
Runs the Monte Carlo engine, recomputes exposure when controls change, and generates the treatment ROI view.
Who This Is For
CISOs and CFOs who need to defend a security budget, boards that want cyber risk expressed like other enterprise risks, and organizations choosing between competing security investments.
Our Process
Select
Identify the loss scenarios that matter most: the events your leadership actually worries about, tied to real systems and data.
Model
Decompose each scenario into loss event frequency and magnitude, calibrated with your environment's data and industry inputs.
Simulate
Run Monte Carlo simulations in our AI-native GRC platform to produce exposure ranges rather than single-point guesses.
Decide
Rank treatment options by exposure reduction per dollar and hand leadership a portfolio they can fund with confidence.
Frequently Asked Questions
What is FAIR?
Factor Analysis of Information Risk, the leading open standard for quantifying cyber risk in financial terms. FAIR decomposes risk into loss event frequency and loss magnitude, which makes cyber risk comparable to the other risks your business already manages in dollars.
Is quantification just guessing with extra steps?
No. Calibrated estimation with ranges and Monte Carlo simulation is how insurance, finance, and engineering handle uncertainty. Every assumption in the model is documented and defensible, which is more than a color on a heat map can say.
What data do you need from us?
Asset and system context, incident history if available, and access to the people who understand your loss scenarios. Where internal data is thin, we calibrate with documented industry inputs and state the assumptions explicitly.
Does the model go stale after the engagement?
The models live in our AI-native GRC platform and recompute as your control state changes. Exposure stays current between assessments instead of expiring the day the report lands.
Related Services
Executive & Board Risk Advisory
Translate cybersecurity risk into business language for boards and executive teams - quantified risk analysis, strategic briefings, and governance guidance.
Security Risk Assessments
We identify and score your real risk scenarios from inherent to residual, quantify them in dollars, and tie every risk to a treatment plan your board can act on.
Outside-In Threat Advisory
See yourself the way attackers, insurers, and your customers' security teams already do - continuously monitored exposure, interpreted by a senior advisor instead of a raw feed.
Ready to see where you actually stand?
Book a 30-minute briefing with the team that would run your program. We'll assess your needs, scope the right engagement, and follow up with a fixed-fee proposal - no pressure, no generic pitches.
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