Stop reporting risk in
red, amber, green.
Cyber Risk Quantification (CRQ) using the FAIR model and Monte Carlo simulation. We express your cyber exposure in rupees and dollars — not heat-map colours — so your board, CFO, and insurer can make decisions the way they make every other risk decision.
The board asks for value. You hand them colour.
Traditional risk registers aren't wrong — they're incomplete. When every decision your organisation makes is in rupees, speaking a different language on cyber leaves you at a permanent disadvantage.
Traditional Heat Maps
- "High" on one team's scale = "Medium" on another's
- Board can't compare cyber to business risk
- No way to calculate ROI of controls
- Insurers can't underwrite against colour
- Multiple "critical" risks with no prioritisation
- No defensible methodology for external audit
- Can't model "what if we add control X"
- Decisions reduced to intuition & seniority
Cyber Risk Quantification
- "Ransomware costs ₹11 Cr/yr · ₹62 Cr at P90"
- Cyber risk comparable to all other enterprise risk
- Every control investment shows ROI
- Insurer can quote against defensible numbers
- Clear top-1, top-2, top-3 prioritisation
- FAIR is an Open Group standard · auditable
- Scenario modelling: "what if we add MFA?"
- Evidence-based CapEx/OpEx justification
An Open Group standard. Not magic.
FAIR (Factor Analysis of Information Risk) decomposes risk into measurable components. Each is estimated as a range (PERT distribution), not a single number, then run through Monte Carlo simulation.
Loss Event Frequency · LEF
How often a loss event occurs per year
Loss Magnitude · LM
Financial magnitude when it does occur
Threat Event Frequency
How often adversary attempts
Vulnerability
Probability attempt succeeds
Primary Loss
Direct impact · response · recovery
Secondary Loss
Fines · legal · reputation · customer
From risk register to board deck.
Quantified Risk Register
Your existing risk register translated into financial exposure per scenario, with tail-loss percentiles.
- Top-10 scenario modelling
- Annualized Loss Expectancy per risk
- P50 / P90 / P99 tail-loss percentiles
- Aggregation across portfolio
- Ranking vs. enterprise-risk register
Control ROI & Portfolio Optimisation
Every proposed investment scored against risk reduction per rupee spent.
- Before/after control modelling
- Cost-of-control vs. risk-reduction
- Roadmap optimisation
- Quick-win identification
- CapEx / OpEx business cases
Board & Regulator Reports
Reports that boards read and regulators accept. No jargon, no heat maps.
- Board-deck templates in your format
- CFO / Audit Committee briefs
- Cyber-insurance submission pack
- Regulator-facing narrative
- Quarterly trend reporting
Scenario Library
Pre-built quantification scenarios mapped to your industry & threat landscape.
- Ransomware · ALE + worst-case modelling
- Data breach · DPDP / GDPR fine inclusion
- Insider IP theft · competitive impact
- DDoS / outage · revenue-per-hour
- Third-party / supply-chain compromise
Insurance & Retention Optimisation
Right-size your cyber-insurance tower with defensible numbers — not guesswork.
- Coverage-vs-exposure gap analysis
- Retention (deductible) optimisation
- Limit-adequacy modelling
- Premium-negotiation support
- Renewal-questionnaire responses
Continuous Risk Program
Not a one-off report. A living program that updates as your environment & threat landscape evolve.
- Quarterly re-quantification
- Trigger-based re-modelling
- New-scenario authoring
- Threat-intel integration
- Board-reporting cadence
Repeatable. Defensible. Open-standard.
We follow Open FAIR, ISO 31000, and NIST SP 800-30 — so the numbers hold up in audit, in litigation, and in insurance negotiations.
Crown Jewels & Scenarios
Critical assets, business processes, data classifications, scenarios to model, loss categories.
Data Collection
Incident history, industry benchmarks, control posture, financial data, regulatory context.
FAIR Decomposition
Each scenario broken down: LEF → TEF + Vulnerability · LM → Primary + Secondary.
Calibrated Estimates
Workshops with your SMEs · calibration-trained estimates · min / most-likely / max ranges.
Monte Carlo Simulation
10,000+ iterations per scenario · output loss distributions · percentiles · sensitivity analysis.
Control Modelling
Before/after scenarios for each proposed or existing control · reduction per rupee spent.
Portfolio Aggregation
Total cyber exposure across scenarios · comparison with other enterprise-risk categories.
Board-Ready Report
Executive narrative, CFO appendix, technical methodology pack, insurer submission, regulator-ready.
Ongoing Refresh
Quarterly re-run · threshold-triggered re-modelling · scenario library expansion · trend reporting.
Open standards. Defensible methodology.
Open Group standard (O-RT / O-RA).
Risk-management principles.
Guide for risk assessments.
Managing info-security risk.
ID.RA · ID.IM · GOVERN function.
Enterprise-risk integration.
Info-security risk management.
Controls-analytics model.
Cyber enters the boardroom as a business risk.
CISO ↔ CFO Alignment
Your CISO stops arguing about risk colour. Your CFO starts making defensible investment decisions. Same language.
Better Insurance Terms
Insurers reward organisations with defensible numbers. Expect meaningful premium reduction & better limits.
Security Spend ROI
Every security investment comes with measured risk-reduction · your budget asks pass first time, every time.
Regulator-Ready Narrative
DPDP / RBI / SEBI regulators increasingly expect quantified risk assessments · you arrive prepared.
Tracked Trend Over Time
Quarterly re-quantification shows whether your exposure is dropping. Evidence, not claims.
Defensible in Litigation
FAIR is an Open Group standard · reports stand up in regulatory investigations & shareholder litigation.
Baseline in 6-8 weeks.
Scoping & NDA
Crown jewels, top scenarios, SME availability, loss categories, data-privacy ground rules.
Data Collection
Incident history, financial data, control posture, industry benchmarks, regulator context.
FAIR Decomposition
Scenario breakdown · LEF + LM factor trees · data source mapping per node.
Calibration Workshops
SME-calibrated ranges for each factor · PERT parameters · assumption documentation.
Simulation & Modelling
Monte Carlo runs · control-scenario modelling · portfolio aggregation · sensitivity.
Reporting & Board Brief
Executive summary · technical appendix · board-deck · insurer-pack · live walkthrough.
Refresh Cadence
Targeted re-runs · new-scenario authoring · trend reports · board reporting.
What leaders ask before they commit.
Is FAIR credible? How do I know the numbers are real?
But we don't have enough data to quantify.
Does this replace our existing risk register?
Will the insurer actually accept this?
Which tools do you use?
How often should we re-quantify?
How much does it cost?
Can you train our team to do this internally?
Report cyber risk the way your CFO reports every other risk.
Book a confidential 30-minute scoping call. We'll agree scope, scenarios, and stakeholders. Fixed quote inside 48 hours.