As insurance platforms become data-driven, protecting sensitive policyholder and claims data must be embedded at the data layer—not just the network perimeter. This session outlines a data-centric cybersecurity model that combines zero-trust principles, AI-driven anomaly detection, and continuous data classification to safeguard high-volume insurance ecosystems. We will highlight how encryption, tokenization, and real-time monitoring reduce breach impact, ensure regulatory compliance (e.g., HIPAA, NIST), and enable secure AI adoption. The approach shifts security from reactive controls to proactive, intelligence-led protection—delivering resilience, trust, and measurable risk reduction across enterprise insurance operations.