Introduction

Cyber-insurance underwriting requires assessing organizational cyber risk. Explainable AI provides understandable risk scores supporting underwriting decisions and policyholder communication.

Risk Assessment Models

Models evaluate security maturity, incident history, industry, and organizational factors affecting cyber risk.

Explainability and Communication

SHAP and LIME provide explanations of risk score drivers supporting underwriting communication and policyholder feedback.

Conclusion

Explainable cyber risk models improve underwriting transparency and consistency.