CYBER RISK QUANTIFICATION
Quantify cyber risk in financial terms.
Model the likelihood and financial impact of material cyber risk scenarios, compare inherent and residual risk, and identify investments that reduce the most expected loss.
Industry Annual Loss Expectancy
ILLUSTRATIVE DATAMedian annual loss$2.5M90th percentile$6.2M99th percentile$17.8M
Illustrative industry loss distribution
Built to connect with your security and cloud ecosystem
KEY CAPABILITIES
Quantify risk. Prioritize with confidence.
Connect transparent models, business context and mitigation priorities in one financial view.
Defensible CRQ
Prove your $VaR with transparent and configurable models
ROI & RRI proof
Justify spend with clear ROI & Risk Reduction Impact (RRI) in dollars
Dynamic scenarios
Model risk by business unit & simulate “what-if” scenarios.
Mitigation roadmap
Prioritize actions by ROI and measurable risk reduction.
HOW IT WORKS
From cyber signals to financial decisions.
Four connected steps bring your data into context and turn exposure into a practical plan.
Defensible CRQ
Prove your $VaR with transparent and configurable models
Correlate exposure
Map Vulnerabilities, control maturity, threats, and loss trends (KEV, industry, business profile).
Quantify impact ($VaR)
Convert exposures into Value-at-Risk and residual risk using real-time threat and financial loss data.
Recommend & align
Prioritize mitigations by ROI and RRI, align to ERM frameworks, and publish board-ready insights.
USE CASES & BENEFITS
One financial view. Every business stakeholder.
Give security, risk and finance teams a shared basis for prioritization, investment and executive reporting.
MITIGATION ROADMAPILLUSTRATIVE