Session

AI-Powered Risk Scorecards: Transforming Cyber Insurance with Data and Fabric

Cyber insurance is undergoing a profound shift as AI-powered risk scorecards replace static, questionnaire-based underwriting. Tailored for Small and Medium Enterprises (SMEs), these platforms integrate diverse data sources including vulnerabilities, breach histories, and behavioral analytics into dynamic risk profiles that reflect real exposure. This enables insurers to provide fairer policies while giving SMEs actionable insights into strengthening their security posture.

Unlike generic security solutions, these scorecards are built specifically for insurance. They integrate seamlessly into underwriting workflows, generate actuarial-ready outputs, and automate compliance reporting. By combining risk assessment with remediation recommendations and regulatory mapping, they help insurers evolve from passive policy providers to active partners in resilience and risk management.

This session will highlight the data architecture behind AI-driven cyber risk scorecards, with a focus on how Microsoft Fabric and modern cloud platforms make them scalable, automated, and reliable. Real-world examples will illustrate how insurers are using these solutions to enhance efficiency, strengthen trust with clients, and uncover new opportunities for innovation.

Looking ahead, we’ll explore how continuous risk reassessment, predictive breach modeling, and partnerships with managed service providers are reshaping the landscape. These capabilities point to a future where cyber insurance is no longer just a financial safeguard but a core element of enterprise resilience strategies.

Attendees, including data professionals, insurance leaders, and digital transformation experts, will gain practical insights into how AI, cloud-native data platforms, and Fabric can redefine cyber underwriting for the next generation.

Chetan Prakash Ratnawat

Madhav Institute of Technology and Science, Jiwaji University

Buffalo Grove, Illinois, United States

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