Session
Modernizing Cyber Insurance with .NET: Building AI-Powered Risk Platforms for SMEs
Cyber insurance is entering a new era—one powered by AI, real-time telemetry, and robust software architecture built with .NET. This session explores how developers are using the .NET ecosystem to create scalable, intelligent cyber risk scorecard platforms that help insurers assess and manage SME risk more effectively.
We’ll walk through how ASP.NET Core, Entity Framework, Azure Functions, and ML.NET are leveraged to ingest vulnerability data, behavioral analytics, and threat intel into dynamic risk profiles. These applications integrate securely with underwriting systems, deliver actuarial-ready outputs, and support real-time compliance automation—all built on a cloud-native .NET stack.
Attendees will gain practical insights into designing microservices, implementing API-first strategies, and applying AI/ML models to drive smarter decisions in the traditionally slow-moving insurance industry. Real-world use cases will show how .NET developers can lead the charge in building high-impact, secure, and AI-enabled systems that don’t just monitor cyber risk—they reshape how it’s quantified and mitigated.
Whether you're working in fintech, insurtech, or enterprise-grade SaaS, this session will give you a blueprint for applying your .NET skills to solve mission-critical problems in cybersecurity and risk intelligence.

Chetan Prakash Ratnawat
Madhav Institute of Technology and Science, Jiwaji University
Buffalo Grove, Illinois, United States
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