Cyber insurance is evolving as AI-powered risk scorecards replace traditional, questionnaire-based underwriting. Designed for Small and Medium Enterprises (SMEs), these platforms bring together diverse data sources such as vulnerabilities, breach histories, and behavioral insights, to build dynamic risk profiles that reflect real exposure. This shift enables insurers to offer fairer policies, while giving SMEs actionable insights to strengthen their cyber resilience.

Unlike general security tools, these scorecards are created specifically for the insurance industry. They integrate smoothly with underwriting workflows, generate actuarial-ready outputs, and simplify compliance documentation. Beyond risk quantification, they provide remediation guidance and regulatory mapping, helping insurers move from passive policy providers to proactive partners in risk management.

This session explores the data and architecture underpinning AI-driven cyber risk scorecards, focusing on how modern data platforms and cloud-native technologies make them scalable and effective. Real-world examples will demonstrate how insurers are using these systems to streamline operations, improve client trust, and unlock new business value.

Looking ahead, innovations such as continuous risk reassessment, predictive breach modeling, and partnerships with managed service providers illustrate a future where cyber insurance is not just financial protection but a core element of enterprise resilience.

Attendees, including data professionals, cybersecurity specialists, and digital transformation leaders, will gain a practical understanding of how AI and modern data platforms are redefining cyber underwriting and risk management, and how these advancements align with broader trends in cloud, data, and analytics.