AI-assisted engineering with HIPAA-grade boundaries.
Healthcare engineering teams work on systems that touch patient data, clinical workflows, and regulated infrastructure. Conventional AI coding tools ask you to trust vendor cloud infrastructure with code that may encode PHI boundaries, integration logic, and security controls.
Orgn gives health systems, payers, and life sciences companies a confidential agentic stack — isolated development environments, governed model routing, and audit-ready evidence — so AI accelerates delivery without breaking compliance boundaries.
HIPAA — Built for regulated health data boundaries
Last updated: 2026-05-22
Why healthcare teams need confidential AI.
Conventional cloud AI tools create exposure risk that security, compliance, and procurement teams cannot accept in regulated environments.
PHI-adjacent code cannot leave the boundary
Even when prompts do not contain direct patient records, healthcare codebases encode data flows, access controls, and integration patterns that security and compliance teams cannot risk exposing to public AI APIs.
Challenge
PHI-adjacent code cannot leave the boundary
Procurement blocks unmanaged AI tools
Security reviews increasingly reject cloud AI IDEs that cannot prove execution isolation, data retention controls, or audit trails sufficient for HIPAA, SOC 2, and BAA requirements.
Challenge
Procurement blocks unmanaged AI tools
Audit teams need evidence, not assurances
Policy-level promises — "we do not train on your code" — are not enough for regulated health environments. Reviewers need cryptographic proof of where workloads ran and what data was accessed.
Challenge
Audit teams need evidence, not assurances
The confidential agentic stack for your industry.
Orgn combines a TEE-backed gateway, confidential IDE, agent control plane, attestation, and isolated sandboxes into one stack designed for sensitive engineering.
Confidential IDE for health software teams
CDE lets engineers use AI to explain, edit, test, and refactor code inside isolated sandboxes. Repository context, prompts, and terminal activity stay inside your approved environment.
Governed model routing with retention controls
Gateway routes inference through TEE and zero-data-retention providers with enterprise policy controls — so security teams define which models run and how usage is logged.
Compliance evidence for security reviews
Scanner collects attestation and execution evidence so compliance and security teams can verify workloads ran in approved environments before outputs are trusted.
Assurance by design
Orgn is built for teams that need provable isolation — not policy assurances — before AI workloads are approved for production.
Development context stays inside your boundary.
Your code is never used to train models.
Evidence packages for compliance reviews.
Healthcare — common questions
Answers for security, procurement, and platform teams evaluating confidential agentic infrastructure.
Ready to evaluate Orgn for healthcare?
Talk to the Orgn team about confidential deployments for your industry, or explore all use cases and pricing.