When building privacy-preserving applications, keeping sensitive data safe while still working with it is a core challenge.
Traditional databases store everything in one place, creating a single point of failure if breached . @Nillion 's nilDB takes a different approach: encrypted data is split into mathematical shares and distributed across multiple nilDB nodes .
No single node ever holds the full valueโreconstruction requires multiple shares from different nodes . If one node is compromised, the attacker gains nothing useful . Developers mark sensitive fields for secret-sharing while keeping non-sensitive data plaintext for efficient queries .
#nil $NIL
Traditional databases store everything in one place, creating a single point of failure if breached . @Nillion 's nilDB takes a different approach: encrypted data is split into mathematical shares and distributed across multiple nilDB nodes .
No single node ever holds the full valueโreconstruction requires multiple shares from different nodes . If one node is compromised, the attacker gains nothing useful . Developers mark sensitive fields for secret-sharing while keeping non-sensitive data plaintext for efficient queries .
#nil $NIL