Zero Trust Data Security: What Regulated Industries Must Know
Blog post from Duality
Zero trust data security replaces perimeter-based defenses with continuous authentication, authorization, least-privilege access, segmentation, encryption, and monitoring across five CISA pillars: identity, devices, networks, applications and workloads, and data, supported by analytics, automation, and governance. It is particularly relevant to healthcare, financial services, and government organizations, where stolen credentials, regulatory obligations, and sensitive data-sharing needs make traditional network trust inadequate. While zero trust can protect data at rest and in transit and limit lateral movement after a breach, the text argues that it leaves a significant gap when data must be decrypted for processing, especially in collaboration between organizations that cannot fully trust one another. Privacy-enhancing technologies such as fully homomorphic encryption, trusted execution environments, secure multi-party computation, federated learning, and differential privacy are presented as complementary tools that can protect data during use, although they differ in performance, trust assumptions, and suitable workloads. The text positions Duality’s platform as one approach for combining these technologies with governance and auditability to enable secure cross-organizational analytics and AI without exposing raw data.
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