How data masking & synthesis support Zero Trust

This document explains Zero Trust principles—no implicit trust, continuous verification, limiting blast radius, and automated context—and advocates enforcing them at the data layer via data masking and synthetic data to minimize exposure in non-production and third-party environments; it showcases Tonic.ai’s Structural, Textual, and Fabricate products as integrated solutions to de-identify or synthesize realistic datasets for CI/CD, ML training, and data sharing while maintaining referential integrity, compliance, and operational utility.