As cyber threats grow in complexity and frequency, Small and Medium Enterprises (SMEs) are increasingly vulnerable and often underprotected. Traditional cyber insurance underwriting methods, based on static questionnaires and periodic assessments, are no longer adequate in today’s real-time threat landscape. Enter AI-powered cyber risk scorecards: cloud-native platforms that synthesize live telemetry, vulnerability data, breach histories, and behavioral analytics to generate dynamic risk profiles for SMEs.

In this session, we’ll explore how cloud computing is enabling a new era of scalable, intelligent cyber risk management. Built on distributed cloud architectures, these platforms leverage services such as event-driven data pipelines, containerized microservices, and serverless functions to process vast security data sets in real time. AI and ML models—trained on diverse threat indicators—produce actuarial-grade outputs that support adaptive underwriting decisions and automated remediation pathways.

Attendees will gain an inside look at how cloud services (across Azure, AWS, and GCP) are orchestrated to support high-availability scoring engines, ensure data sovereignty and compliance, and integrate seamlessly with both insurer back-ends and client-facing dashboards. Case studies will highlight how early adopters have achieved measurable improvements in loss ratio, customer retention, and policy issuance time by adopting a cloud-first approach to cyber insurance.

Whether you're a cloud engineer, product lead, or security architect, this talk will demonstrate how cloud platforms are not just hosting environments—but foundational enablers of intelligent, real-time risk assessment at scale. Join us to learn how to build resilient, AI-driven insurance systems that transform cyber insurance from a passive safety net into an active driver of security posture and business resilience.