Description

A focused course, tailored for you

Cyber Risk Quantification for Security Analysts

Convert technical findings into financial exposure figures your clients can act on.

Your client's CISO wants a dollar figure for the breach scenario you flagged last quarter. Not a red-amber-green tile. A loss range they can take to the CFO. You have the technical findings. The missing skill is turning them into a defensible financial model.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Cyber security analysts at professional services firms spend most of their client time producing risk assessments that stop at 'High / Medium / Low'. Those ratings feel authoritative inside a technical review but go quiet the moment a board member asks 'what does High actually cost us?' The analysts who can answer that question in dollar terms move to senior advisory roles. The ones who cannot stay in the assessment lane. The gap is not technical knowledge. It is one specific skill: cyber risk quantification using a structured methodology like FAIR that translates threat scenarios and control gaps into credible loss-range estimates.

What you walk away with

Scope a cyber risk quantification engagement from a standard technical assessment using FAIR methodology.
Elicit loss data from non-technical client stakeholders using structured interview techniques.
Build a Monte Carlo loss-range model in a spreadsheet that a CFO can follow.
Write the one-page executive summary that presents the financial exposure without overstating certainty.
Translate a control gap finding into a risk-reduction dollar figure your client can use to justify remediation spend.
Defend your quantification assumptions under board-level scrutiny.

The 12 modules

Module 1. Why Clients Ask for Numbers

Board and CFO expectations have shifted from heat maps to loss ranges. This module maps the exact moment in a client engagement when quantification is requested, who asks for it, and what they do with the answer. You will leave with a clear picture of where your current deliverables stop and where a quantified output picks up.

Module 2. FAIR Methodology: The Operating Model

Factor Analysis of Information Risk (FAIR) is the dominant open standard for cyber risk quantification. This module covers the FAIR ontology from Loss Event Frequency through to Primary and Secondary Loss. You will build the taxonomy in your own words so you can explain the model to a client stakeholder who has never heard of it.

Module 3. Scoping the Scenario from a Technical Finding

A vulnerability report lists dozens of findings. A quantification engagement picks one or two high-consequence scenarios and models them deeply. This module teaches the selection criteria: asset value, threat capability, control effectiveness, and client-specific business context. You will scope two scenarios from a sample technical assessment.

Module 4. Asset Valuation Without a Finance Background

The loss calculation starts with asset value, and most security analysts have never done a business-impact analysis. This module covers the three valuation approaches your clients will accept: replacement cost, revenue dependency, and regulatory liability. You will build a one-page asset valuation worksheet you can use in a client workshop.

Module 5. Eliciting Loss Data from Non-Technical Stakeholders

The numbers in your model come from people who are not analysts. Legal estimates breach notification costs. Finance estimates downtime revenue impact. HR estimates reputational exposure. This module provides a structured interview guide and a calibration technique that converts a stakeholder's gut sense of 'significant' into a defensible minimum-maximum range.

Module 6. Threat Actor Capability and Contact Frequency

FAIR separates threat event frequency from vulnerability. This module maps threat intelligence sources your firm likely already subscribes to (sector-specific ISACs, vendor threat reports, regulator advisories) onto the FAIR threat capability and contact-frequency inputs. You will practice estimating these values for three standard threat scenarios: ransomware, insider data theft, and supply chain compromise.

Module 7. Control Effectiveness Scoring

Your technical assessment already scores controls. This module translates those scores into FAIR vulnerability probability estimates. You will learn the common mapping errors (treating a control score as a direct probability input) and the correction method that produces estimates your model can defend. The output is a control-effectiveness table your client can verify against their own assessment records.

Module 8. Building the Monte Carlo Model in a Spreadsheet

Most clients cannot afford or wait for specialist risk quantification software. This module walks through a Monte Carlo simulation built entirely in Excel or Google Sheets using standard distribution functions. You will build a working model that runs 10,000 iterations and outputs a loss-exceedance curve from the inputs you have gathered in earlier modules.

Module 9. Reading and Presenting the Loss Curve

A Monte Carlo output is a probability distribution, not a single number. This module covers the three figures clients actually use: the 10th percentile (best case), the 50th percentile (most likely), and the 90th percentile (tail risk). You will practice translating the curve into a verbal briefing that a CFO can follow without statistical background.

Module 10. The One-Page Executive Summary

The deliverable a board audit committee will read is a single page, not a 40-slide deck. This module provides a template and a drafting guide for the executive summary: scenario description in plain language, the three loss-range figures, the top two control gaps driving the exposure, and the remediation cost comparison. You will draft a summary from the model you built in module 8.

Module 11. Turning Remediation Cost into a Risk-Reduction Number

Clients ask whether the $200K firewall upgrade is worth it. This module teaches the risk-reduction calculation: run the Monte Carlo with the proposed control in place, compare the new 90th-percentile loss figure to the old one, and present the difference as the annualised risk reduction value. You will produce a one-page remediation ROI brief from a sample finding.

Module 12. Defending Your Assumptions Under Scrutiny

Board members and external auditors will challenge your inputs. This module covers the three most common challenges (data quality, model simplicity, and assumption sourcing) and the responses that hold up under pressure. You will work through a mock board Q&A using the deliverables from earlier modules, finishing with a documented assumption register your client can keep on file.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Client CISO asks for financial impact figures in a QBR and your current heat map does not answer the question: modules 1, 9, 10.

You have technical findings from a vulnerability assessment and need to scope a quantification engagement: modules 3, 4, 5.

You need to build a credible loss model without specialist software: modules 6, 7, 8.

The board or CFO challenges your numbers and you need to defend the methodology: modules 2, 11, 12.

What you get with this course

Twelve written modules with worked examples built from realistic client scenarios.
FAIR scenario scoping worksheet for professional services engagements.
Asset valuation and stakeholder interview guide.
Monte Carlo spreadsheet template (Excel and Google Sheets compatible).
Executive summary template with drafting notes.
Remediation ROI brief template.
Assumption register template.
Hand-built implementation playbook, delivered alongside course access, tailored to your specific client context.

What you will have in hand by Day 1, Week 1, Month 1

Course access provisioned within 24 hours of purchase.

Hand-built implementation playbook delivered alongside course access.

Self-paced: most analysts complete the twelve modules across two to three working weeks.

Before and after

Before

You produce technically sound risk assessments. When a client asks for financial impact figures, you redirect to likelihood-impact ratings and the conversation goes quiet.

After

You scope, model, and present a FAIR-based loss-range analysis that a CFO can read in five minutes and use to make a budget decision. The client asks you back for the next quantification engagement.

What happens if you do not address this

The clients who now ask for financial risk quantification will find a firm or analyst who can deliver it. That is a senior advisory engagement, typically billed at a higher rate and with a longer relationship. Staying in the technical assessment lane is a choice with a visible ceiling.

Who it is for

This course is for cyber security analysts at consulting and professional services firms who produce client-facing risk assessments and want to add financial quantification to their delivery toolkit. You understand vulnerability scoring, control frameworks, and threat modelling. You have not yet built a formal quantification model that a CFO or board audit committee would accept as a basis for budget decisions.

Who this is NOT for. Security engineers focused on internal tooling or automation. Red-team specialists. Analysts who work exclusively on technical hardening and have no client-facing reporting responsibility.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. Approximately 4-6 hours of reading and worksheet completion across the twelve modules. The implementation playbook adds structured exercises mapped to your specific client engagement context.

Why $199 is the right number

FAIR certification programmes run 2-3 days and cost several thousand dollars. Most are aimed at CISOs and risk managers, not analysts who need to build the model themselves. Generic risk management courses cover frameworks without teaching the spreadsheet mechanics. This course is the practitioner layer: you build a working model from real inputs before the end of module 8.

FAQ

Do I need a statistics background to follow the Monte Carlo module?

No. The module uses Excel's built-in NORM.INV and RAND functions. If you can write a VLOOKUP you can build the model. The course explains what a distribution is before asking you to use one.

Is FAIR the only methodology covered?

FAIR is the primary framework because it is the most widely accepted for client-facing quantification work. The course notes where NIST CSF and ISO 27005 risk assessment language maps to FAIR inputs, so you can bridge from assessments built on those standards.

Can I use this in a Big Four or mid-market consulting engagement?

The templates and worksheets are designed for professional services delivery contexts. The scenario examples are drawn from regulated-sector client situations: financial services, healthcare, critical infrastructure. The executive summary format is calibrated to what a board audit committee expects to see.

What is included in the implementation playbook?

The playbook is hand-built for your context after purchase. It maps the twelve modules to the specific threat scenarios and client sectors most relevant to your current engagement pipeline, with completed worked examples from those scenarios.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.