A quantitative methodology for evaluating AI-specific insurability risk across five critical domains. The industry's first scoring framework purpose-built for cyber insurance underwriting of AI-dependent organizations.
Model Integrity & Validation, Output Liability & Content Risk, AI Supply Chain Security, Regulatory & Compliance Alignment, and Systemic Resilience & Continuity — each with weighted sub-factors.
Discrete, measurable factors across all five domains producing a composite 0–100 AI Insurance Readiness Score with five tier classifications.
Direct mapping of AIRS scores to premium adjustments, coverage conditions, exclusion triggers, and portfolio-level risk aggregation for carriers.
Framework calibrated to EU AI Act high-risk requirements, NIST AI RMF, ISO 42001, and emerging state-level AI governance mandates.
Analysis of the $16.3B cyber insurance market's structural gaps in pricing AI-specific risk, with data from Munich Re, Willis Towers Watson, and Gallagher.
30-60-90 day deployment guidance for carriers, MGAs, and brokers integrating AIRS into existing underwriting workflows.
The complete 21-page framework including scoring methodology, factor definitions, tier classifications, and underwriting integration guidance.
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