/ 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.

PHI ProtectionAudit-ReadyBuilt for Secure Collaboration
/ PHI · POLICY-DRIVEN VIEWSCONSENT-BOUND ACCESSpurpose=treatmentpurpose=researchpurpose=billingpurpose=analyticsPOLICY ENVELOPEPHI · obj:p7f2…3a91v3NAMEDOBSSNDXMEDSNOTESIMGBILLABAC · ENCRYPTION · LINEAGEsig=sha256:1f4a…b07econsent v2/ CLINICIAN✓ ALLOWNAMEDOBSSNDXMEDSNOTESIMGBILLALLOW · full clinical view/ RESEARCHER✓ ALLOWNAMEDOBSSNDXMEDSNOTESIMGBILLALLOW · de-identified + age range/ PAYER✓ ALLOWNAMEDOBSSNDXMEDSNOTESIMGBILLALLOW · billing scope only/ AI MODEL✓ ALLOWNAMEDOBSSNDXMEDSNOTESIMGBILLALLOW · aggregated only/ LEGENDVISIBLETRANSFORMEDREDACTEDone record · policy decides what each role sees

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.

01

PHI shared across disconnected systems and partners

02

Research datasets reused across teams and institutions

03

AI tools accessing sensitive clinical or patient data

04

Audit gaps across cloud, lab, and third-party workflows

05

Consent, purpose, and role-based access complexity

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.

01

Portable Policy

Access rules remain bound to sensitive health data across systems and recipients.

02

Purpose-Based Access

Policy decisions can account for role, purpose, consent, environment, and sensitivity.

03

Cryptographic Lineage

Access, decrypt, sharing, and processing events generate tamper-evident evidence.

04

Secure Collaboration

Enable controlled sharing between providers, labs, researchers, and partners.

/03USE CASES

Built for Sensitive Healthcare Data Flows

01

PHI Sharing Across Providers

Share sensitive patient data across care teams and institutions while preserving policy, revocation, and auditability.

02

Research Data Collaboration

Enable controlled access to clinical and research datasets without losing lineage or governance.

03

AI and Clinical Analytics Governance

Control what AI systems, models, and analysts can retrieve, process, and output from sensitive datasets.

04

Payer, Lab, and Partner Access

Grant time-bound, policy-bound access to external organizations with verifiable usage records.

05

Incident 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 Trust Fabric

Lattix Trust Fabric

Composable zero trust infrastructure for policy, enforcement, lineage, encryption, and data control.

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Lattix Passport

Policy-carrying data packages for controlled sharing with providers, labs, payers, and research partners.

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Lattix Policy Engine

Local enforcement of ABAC decisions across applications, APIs, and data boundaries.

Lattix CAS

Cryptographic content identity for clinical records, research files, model inputs, and derived datasets.

Lattix Lineage

Tamper-evident proof for policy versions, access events, and audit roots.

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Lattix 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.

HIPAA-sensitive data protectionPHI access governancePurpose-based data accessAudit and records traceabilityResearch data collaborationAI and analytics governanceData minimization and controlled disclosurePost-quantum readiness for long-lived health records

/06WHY LATTIX

From Application-Centric Security to Data-Centric Healthcare Control

Traditional Model

Secure access to healthcare applications and rely on system logs.

Lattix Model

Attach policy, encryption, and proof directly to healthcare data as it moves.

Traditional Model

Shared data often loses context after export or transfer.

Lattix Model

Portable policy and lineage persist across providers, labs, researchers, and partners.

Traditional Model

AI and analytics access is difficult to govern after ingestion.

Lattix Model

Policy controls determine what sensitive data can be retrieved, processed, and emitted.

Secure Healthcare Data Beyond the Application Boundary

Explore how Lattix can help protect PHI, research datasets, and AI-enabled workflows with data-centric zero trust controls.

Request Healthcare Technical Brief

Review the architecture for healthcare data governance and secure collaboration.

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Talk to Engineering

Discuss PHI workflows, partner access, research data, or AI governance.

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Explore Trust Fabric

See how Lattix components work together.

View Trust Fabric