/ HEALTHCARE
Data-Centric Zero Trust for Healthcare
Protect PHI, research data, and clinical workflows with portable policy, local enforcement, and cryptographic proof across providers, labs, payers, and AI systems.
Additional focus
One PHI record · purpose-based policy decides what each role sees
/01HEALTHCARE DATA RISK
Patient Data Moves Across More Systems Than Ever
Healthcare data no longer stays inside one hospital, EHR, or clinical system. PHI moves across providers, payers, labs, research institutions, cloud platforms, and AI-enabled workflows.
Traditional access controls often stop at the application boundary. Once data is exported, copied, shared, or processed by downstream tools, visibility and control weaken. Healthcare organizations need security that stays attached to the data itself.
PHI shared across disconnected systems and partners
Research datasets reused across teams and institutions
AI tools accessing sensitive clinical or patient data
View 3 more risk signals
01Risk signal 04
Audit gaps across cloud, lab, and third-party workflows
02Risk signal 05
Consent, purpose, and role-based access complexity
03Risk signal 06
Ransomware and insider-risk exposure
/02LATTIX APPROACH
Keep Policy and Proof Attached to Healthcare Data
Lattix applies zero trust directly to healthcare data objects. Policies, attributes, encryption controls, and lineage metadata travel with PHI, clinical files, and research datasets wherever they move.
This enables healthcare teams to enforce access, verify usage, and preserve auditability across providers, research partners, AI workflows, and distributed systems.
Portable Policy
Access rules remain bound to sensitive health data across systems and recipients.
Purpose-Based Access
Policy decisions can account for role, purpose, consent, environment, and sensitivity.
Cryptographic Lineage
Access, decrypt, sharing, and processing events generate tamper-evident evidence.
Secure Collaboration
Enable controlled sharing between providers, labs, researchers, and partners.
/03USE CASES
Built for Sensitive Healthcare Data Flows
PHI Sharing Across Providers
Share sensitive patient data across care teams and institutions while preserving policy, revocation, and auditability.
Research Data Collaboration
Enable controlled access to clinical and research datasets without losing lineage or governance.
AI and Clinical Analytics Governance
Control what AI systems, models, and analysts can retrieve, process, and output from sensitive datasets.
View 2 more use cases
01Payer, Lab, and Partner Access
Grant time-bound, policy-bound access to external organizations with verifiable usage records.
02Incident Response and Forensics
Trace access history, content lineage, and affected datasets after suspicious activity or breach events.
/04RELEVANT PRODUCTS
Healthcare-Ready Components of the Lattix Security Fabric
Lattix Policy Engine
Local enforcement of ABAC decisions across applications, APIs, and data boundaries.
View 3 more products
01Lattix CAS
Cryptographic content identity for clinical records, research files, model inputs, and derived datasets.
02Lattix Lineage
Tamper-evident proof for policy versions, access events, and audit roots.
03Lattix Console
Central governance for policy lifecycle, exceptions, revocations, and compliance exports.
/05GOVERNANCE
Designed for Healthcare Data Governance
Healthcare security requires more than identity and application controls. Organizations need persistent data governance, auditable access, and policy enforcement that survives data movement across clinical, research, and partner environments.
Lattix supports data-centric zero trust by keeping policy, access control, and lineage bound to sensitive healthcare data itself.
More governance themes
/06WHY LATTIX
From Application-Centric Security to Data-Centric Healthcare Control
Secure access to healthcare applications and rely on system logs.
Attach policy, encryption, and proof directly to healthcare data as it moves.
Shared data often loses context after export or transfer.
Portable policy and lineage persist across providers, labs, researchers, and partners.
AI and analytics access is difficult to govern after ingestion.
Policy controls determine what sensitive data can be retrieved, processed, and emitted.
Secure Healthcare Data Beyond the Application Boundary
Lattix keeps encryption and access policy attached to PHI and research data, producing the object-level encryption, per-release authorization, and audit trail the HIPAA Security Rule NPRM proposes.
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Review the architecture for healthcare data governance and secure collaboration.
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Discuss PHI workflows, partner access, research data, or AI governance.
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