RiskRadar replaces subjective heat maps with Monte Carlo simulations that quantify your actual exposure. Finally answer: "What could a breach really cost us?"
They want to know: How much could we lose? How likely is it? How much should we spend to prevent it?
| Risk Scenario | Expected Loss | 95th Percentile |
|---|---|---|
| Ransomware Attack | $2.4M | $8.2M |
| Data Breach | $1.8M | $12.1M |
| Insider Threat | $0.9M | $3.4M |
| DDoS Attack | $0.3M | $0.9M |
Start with what keeps you up at night—ransomware, data breaches, insider threats. Our FAIR-based wizard helps you decompose each risk into measurable components.
Most experts are overconfident. Our calibration training ensures your 90% confidence intervals are actually right 90% of the time.
Monte Carlo analysis runs 10,000+ iterations using your estimates, producing probability distributions instead of single-point guesses.
Prioritize investments by ROI, report to the board in their language, and know exactly how much risk reduction you're buying.
Industry-standard Factor Analysis of Information Risk decomposition guides your assessments.
10,000+ simulations produce reliable loss exceedance curves and percentile estimates.
Structured exercises reduce overconfidence bias and improve estimate accuracy.
Visualize the full range of outcomes from best case to worst case scenarios.
Compare security investment costs against expected loss reduction.
Export professional reports with charts that executives understand.
RiskRadar implements the methodology from "How to Measure Anything in Cybersecurity Risk" by Douglas Hubbard and Richard Seiersen, combined with the FAIR (Factor Analysis of Information Risk) framework.
"Organizations using quantitative cyber risk methods make demonstrably better security investment decisions than those relying on qualitative scales."
Join security leaders who speak the board's language—dollars and probabilities, not colors and gut feelings.