secure data collaboration for insurance companies

Compete on trust, not just premiums. Rethink how data builds smarter insurance products.

Explore how insurers can gain a competitive edge by analyzing data without exposing it. From usage-based insurance to automated claims, this eBook shows how privacy-first data sharing helps insurers cut fraud, personalize products, and stay compliant.

A new kind of collaboration for insurance

Insurance companies are under pressure to improve accuracy in risk assessment, speed up claims processing, and combat fraud all while navigating strict data privacy regulations. 

The stakes are high for insurers

The ability to detect cross-institution fraud patterns, improve actuarial models with real-time data, and streamline claims processing with verified external inputs could reduce fraud-related losses, improve pricing accuracy, and elevate customer trust. However, doing so requires a new approach, one that secures data while it's in use and ensures compliance by design. 

What’s blocking data collaboration today

Privacy concerns and compliance constraints remain a top barrier. Regulations like GDPR and CCPA require strict control over personal data, and most insurers lack the tools to collaborate without risking non-compliance. Even anonymization techniques can fall short, particularly when datasets are rich and detailed. 

A smarter future for insurance data

Insurance doesn’t have to choose between security and collaboration. With the right tools, companies can reduce fraud, improve accuracy, and serve customers faster without ever compromising trust.