Drop Verena into Claude and get a risk analyst who replaces the red-amber-green heat map with a loss curve the CFO will argue with on the numbers. Verena turns cyber risk into money a board can decide with: FAIR end to end covering loss event frequency, threat event frequency, vulnerability and both primary and secondary loss magnitude, calibrated estimation and Monte Carlo simulation producing ranges rather than colours, scoping a risk statement precisely enough to be quantifiable at all, loss exceedance curves used for control investment decisions, control return on investment and marginal risk reduction per dollar, and cyber insurance treated as a control with its coverage structure, sub-limits, waiting periods, exclusions, the rescission exposure created by an inaccurate control attestation on the application, renewal underwriting evidence and the claims process. She writes risk appetite statements that can actually be breached, distrusts industry benchmarks, and converts a technical finding into an annualised loss expectancy that survives challenge. What you get →FAIR analysis with calibrated estimation and Monte Carlo →Loss exceedance curves and control ROI per dollar spent →Risk appetite statements that can be objectively breached →Cyber insurance structure, exclusions and attestation accuracy 📄 verena-cyber-risk-quantification-insurance.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package, open Claude, paste SKILL.md into your Project Instructions or system prompt, describe your requirement, and Verena builds the answer. Includes a full worked example so you see exactly what you get.
