Cyber Risk Quantification
Your board doesn't think in heat maps. Neither should your risk program.
Every cyber risk your organization carries has a dollar value attached to it. Most security teams never calculate it. We build financial exposure models your CFO can defend to the board, your board can defend to investors, and your insurance broker can use to right-size your coverage.
Why Financial Risk Modeling Changes Everything
Security budgets don't grow from heat maps and intuition.
Risk ratings, severity scores, and red/yellow/green matrices tell your board that risk exists. They don't tell them how much it costs, how much the proposed controls reduce it, or whether the investment is proportionate to the exposure. Boards make capital allocation decisions in financial terms. Security programs that speak a different language lose every budget conversation.
Cyber risk quantification changes the dynamic. When you can show that a ransomware scenario carries an expected annual loss of $2M–$8M and that a proposed EDR investment reduces that exposure by $1.2M, the budget conversation becomes a return-on-investment conversation. That's a fundamentally different discussion.
Budget Request That Needs Justification
You're requesting a significant security investment and the CFO or board wants to understand the financial return not just the threat narrative.
Cyber Insurance Renewal
Your premiums have increased, coverage has been reduced, or underwriters are asking questions your team can't answer with documented risk modeling.
Board Cyber Risk Reporting
Your board or audit committee is asking for more rigorous cyber risk oversight under SEC cybersecurity disclosure rules or institutional investor expectations.
Strategic Security Investment Decision
You're evaluating competing security investments and need a principled way to prioritize based on risk reduction value rather than vendor claims.
What Makes This Different
Risk Modeling Built on Defensible Inputs
01
Risk in the Language of the Boardroom
FAIR is the international standard for quantifying cyber risk in financial terms. We model probable loss ranges so your board can see that a ransomware scenario carries an expected annual loss within a specific dollar range and make a resource allocation decision that reflects actual exposure.
02
Security Investment Justified by Return
CRQ doesn't just measure risk it measures the risk reduction value of controls. We model your current exposure, then model it with proposed security investments in place. The delta is the financial return on your security spend.
03
Defensible Under Scrutiny
FAIR is an ANSI/Open Group standard. The methodology is peer-reviewed and documented. When your board, auditors, or insurers ask how you arrived at your risk figures, you have a rigorous, documented answer not a consulting opinion dressed up as analysis.
Heading into a board presentation or insurance renewal?
The free consultation is a direct conversation about your decision context and whether CRQ is the right tool for where you need to go.
What To Expect
What the Engagement Delivers
Every CRQ engagement delivers board-ready outputs not technical reports that require translation before they can be used.
FAIR Risk Models
Fully documented FAIR models for each approved scenario with calibrated inputs, source documentation, and sensitivity analysis identifying which variables most significantly drive exposure.
Probabilistic Loss Distribution Reports
Monte Carlo simulation outputs presenting probable loss ranges at 10th, 50th, and 90th percentile confidence levels for each modeled scenario.
Control ROI Analysis
Financial modeling comparing current-state exposure to proposed control investment scenarios showing the expected loss reduction value of each proposed investment.
Board Presentation Package
Executive presentation materials designed for board or audit committee delivery: scenario narratives, financial exposure summaries, risk appetite framing, and investment recommendations.
Cyber Insurance Adequacy Assessment
Coverage gap analysis comparing modeled loss scenarios against current policy limits, exclusions, and sublimits with documentation formatted for underwriter review.
Risk Appetite & Tolerance Framework
Board-level risk appetite statement and tolerance threshold recommendations based on modeled scenarios and organizational risk capacity.
Ideal For
Who This Engagement Serves.
CISOs Requesting Larger Budgets
Security leaders who need to move the budget conversation from 'trust us, this is important' to 'here is the expected annual loss we are reducing by this amount for this investment.'
Boards and Audit Committees
Directors seeking more rigorous, auditable cyber risk oversight particularly those facing SEC cybersecurity disclosure requirements or institutional investor expectations around risk management maturity.
Organizations Renewing Cyber Insurance
Companies navigating premium increases, coverage reductions, or underwriting scrutiny who need documented risk modeling to negotiate from a position of informed confidence.
What Happens After You Reach Out
From Consultation to
Board-Ready Risk Figures
Typical timeline: 4–8 weeks. Engagements can be structured around a specific decision event: board meeting, budget cycle, or insurance renewal.
Initial Consultation
We talk through your decision context, the scenarios you need to model, and what the engagement would require. You leave the call knowing whether CRQ is the right tool and what it would take to do it properly.
Scoping, Asset Valuation and Scenario Selection
Kickoff with CISO, CFO, and legal to define scope and decision context. Asset valuation workshops to establish the financial value of critical assets. Scenario shortlist confirmed before modeling begins. Asset valuation is where engagements most often extend — building defensible numbers takes time.
Data Collection, Control Assessment and Model Calibration
Collection of threat intelligence, industry loss benchmarks, and control effectiveness inputs. FAIR model construction for each approved scenario with stakeholder-validated inputs and calibration review.
Monte Carlo Simulation, Sensitivity Analysis and Control ROI
Monte Carlo simulation producing probabilistic loss distributions. Sensitivity analysis identifying key exposure drivers. Control investment ROI modeling. Draft findings reviewed with technical and financial stakeholders before finalization.
Final Deliverables and Board Presentation
Final model outputs, written analysis, and board presentation package. Pre-board briefing with CISO and CFO. Board or executive committee presentation with facilitated risk appetite and insurance adequacy discussion.
Why It Matters Who Does This
CRQ fails when the model is built on inputs nobody validated.
Defensible inputs. Defensible outputs. Board-ready analysis.
The Problem
Most CRQ engagements produce mathematically precise outputs based on industry averages dressed up as organization-specific analysis. The numbers look authoritative until someone in the boardroom asks how you arrived at them.
How We Build
Every model is built around your specific threat landscape, your actual controls, and your real asset values. The analysis is defensible because the inputs are defensible. That is what earns budget decisions and moves insurance conversations forward.
The Difference
When your CFO or board asks how you arrived at a number, you have an answer that holds up. That is the difference between a modeling exercise and a tool that drives real decisions.
Start with a Free Consultation.
We'll talk through your scenarios, your decision context, and whether CRQ is the right tool for where you need to go.
No sales pitch. No commitment. A conversation.