PDF: Beyond Insurance: Unlock Value with Secure Data Collaboration

Transform how insurers assess risk, detect fraud, and create personalized products — without exposing sensitive data.

In an era of digital disruption and heightened regulation, traditional insurance models are struggling to keep pace. Siloed data, compliance risk, and manual workflows limit agility and slow down innovation.

Our Beyond Insurance use‑case guide shows how privacy‑preserving technologies like Confidential Computing and Multi‑Party Computation (MPC) empower insurers to collaborate securely across partners, internal teams, and regulators — all while protecting customer privacy and meeting compliance requirements.

Whether you’re focused on underwriting, fraud detection, risk modeling, or cross‑industry data sharing, this guide provides a practical roadmap for the future of insurance.

What You’ll Discover How to improve risk and pricing models using combined datasets without exposing raw information Fraud detection at scale across institutions without sharing customer data Speeding claims and underwriting workflows through secure computation New product and revenue opportunities unlocked by privacy‑first collaboration Regulatory alignment with GDPR, AML frameworks, and digital identity modernization   and more...