FHE unlocks entirely new applications across industries that would be impossible without mathematically guaranteed privacy.
FHE enables the confidential sharing of financial transaction data across institutions and borders without compromising the identity of the participants. This allows banks to identify fraudulent accounts and transactions regardless of their origin and strengthens financial system integrity.
FHE facilitates large-scale analysis of individual health records while maintaining patient privacy and confidentiality. Doctors and insurance providers can analyze data on regret rates, readmission, and other factors across vast patient populations. This comprehensive analysis helps uncover more effective treatments and personalized care plans, improving overall quality of life.
FHE allows machine learning models to analyze sensitive data without exposing the data itself. For example, image recognition can identify security threats or legal violations without inappropriate surveillance, and medical scans can be analyzed without risking patient data exposure.
FHE enables manufacturers to share inventory, sales, distribution data, and more with analysts, data brokers, and even competitors. This collaboration enhances the ability to predict and respond to market changes and manage supply chains effectively. Data brokers can also perform computations on private data like GPS locations, uncovering valuable population-level insights without compromising individual privacy.
As personalized search and information retrieval grow, FHE allows consumers to keep their sensitive data, such as calendars, emails, or personal documents, encrypted in the cloud. Despite being encrypted, this data can still be processed by personal search engines or AI assistants, ensuring privacy while delivering tailored results.
