AI is gaining traction across underwriting, claims, and risk functions, but for insurance leaders, the real challenge is no longer experimentation, it’s defensibility.
With over 70% of enterprise data considered sensitive or regulated, many organizations struggle to scale AI without increasing compliance and legal risk. As scrutiny intensifies, insurers must ensure AI-driven decisions are explainable, reproducible, and grounded in trusted data. So how can organizations move forward while ensuring outcomes stand up to examination?
Leading organizations are moving beyond isolated use cases and building a foundation for defensible AI. This means connecting decisions to trusted data, maintaining clear lineage, and embedding governance into how AI is deployed and managed. It also requires aligning strategy, infrastructure, and talent to ensure AI is scalable, controlled, and transparent by design.
Join insurance peers and industry experts for a candid discussion on how to move from model output to exam-ready evidence, while delivering measurable business value across critical workflows.

Protegrity: From AI pipelines to cross-border banking and safeguarding patient records, your teams need secure, compliant, and usable data. Protegrity keeps sensitive data protected at the source—giving security leaders peace of mind and data teams the freedom to move faster and innovate with confidence.

Cloudera:
Together: The Protegrity and Cloudera integration empowers organizations to securely manage and analyze sensitive data, bringing AI to data anywhere it lives—in data centers, public clouds, or at the edge. By combining Protegrity’s granular data protection with Cloudera’s data and AI platform customers can unlock the full potential of their data without compromise.