Platform / Risk in dollars, not heatmaps — and provable
Cyber Risk Quantification
Org-level FAIR + Monte Carlo quantification with a board-ready loss exceedance curve — and it's the only CRQ result you can cryptographically verify.
Book a demoWhy it matters
Every other CRQ tool gives your board a number they have to trust. Compriska gives them one they can prove. Run a full FAIR + Monte Carlo simulation across your entire risk register, express exposure in dollars (ALE, P90, P99, tail loss), and see the probability of exceeding your risk appetite. Every run is deterministic, signed, and anchored to a tamper-evident ledger — so an auditor or board member can independently reproduce and verify the exact number, offline, with no vendor trust required.
What you get
- ✓FAIR decomposition (Loss Event Frequency × Loss Magnitude, primary + secondary loss) with BetaPERT distributions
- ✓Monte Carlo simulation up to 1,000,000 iterations across your whole risk register
- ✓Board metrics in dollars: Annualized Loss Expectancy, P90, P99 tail loss, and probability of exceeding risk appetite
- ✓Loss Exceedance Curve and top-driver tornado analysis
- ✓Two-sided risk — threats and opportunities netted, not loss-only like RiskLens or Kovrr
- ✓What-if and before-vs-after scenario comparison: see exactly how a proposed control lowers exposure before you approve it
- ✓Selectable 90%, 95%, and 99% confidence intervals for VaR, CVaR (tail loss), and the loss range
- ✓Executive recommendations in dollars — e.g. "Enforce MFA to reduce expected annual loss by 38%" — generated from your measured before/after delta
- ✓Every recommendation mapped back to NIST CSF, ISO 27001, DORA, CMMC, and ISO 42001 (AI governance)
- ✓One click turns a recommendation into ledger-anchored remediation tasks opened against the exact controls it maps to — quantified risk flows straight into tracked work
- ✓Every result signed and ledger-anchored — reproducible and independently verifiable offline
- ✓Board-ready report export with a cryptographic verification block
Frequently asked questions
What methodology does Compriska use for cyber risk quantification?
Compriska uses the FAIR (Factor Analysis of Information Risk) standard with Monte Carlo simulation — the same rigorous approach as RiskLens, Kovrr, and Safe Security. Loss Event Frequency and Loss Magnitude are modelled as BetaPERT distributions and simulated across up to a million iterations to produce a full loss distribution.
How is Compriska different from RiskLens, Kovrr, or Safe Security?
Those tools produce a risk number you have to trust. Compriska's runs are deterministic, signed, and ledger-anchored, so anyone — an auditor, a regulator, your board — can independently reproduce and cryptographically verify the exact figure offline. Compriska is also two-sided, netting opportunity upside against threat exposure. No other CRQ platform offers provable results.
Can I produce a board-ready report?
Yes. Every simulation exports a board report with an executive summary, the loss exceedance curve, top risk drivers, methodology, and a verification block containing the cryptographic hashes and an offline verify link — defensible not just in narrative but in math.
Can Compriska recommend what to fix, in dollars?
Yes. Run a before-vs-after comparison and Compriska quantifies the annual-loss reduction of your treatment plan and generates executive recommendations — for example, "Enforce phishing-resistant MFA to reduce expected annual loss by 38% ($1.2M)." Each recommendation is mapped to the frameworks you already run in Compriska (NIST CSF, ISO 27001, DORA, CMMC, and ISO 42001), and one click opens ledger-anchored remediation tasks against the exact controls it maps to — so risk quantification connects straight to control implementation and tracked work.
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