Security & Compliance
In healthcare, trust is the product. Our platform is engineered so that institutions can answer — precisely and verifiably — where data lives, who can access it, and how every AI output was produced.
Governance is an engineering discipline
We treat governance not as paperwork layered on afterward, but as a set of technical controls designed into the platform from the first commit.
Data residency & control
Patient-identifiable data is processed only where the institution decides — on its own premises or in Japan-based facilities. Our multi-region platform enforces residency tiers at the scheduler level, so placement is a control, not a promise.
Private by architecture
Models run on dedicated infrastructure under institutional control. No prompts or patient data are sent to third-party model APIs, and air-gapped configurations are available for the most sensitive environments.
Auditable by default
Every query, response, and configuration change is logged. Model versions are pinned and documented, so any output can be traced back to the exact system state that produced it.
What we implement on every deployment
- Encryption in transit and at rest across all platform components
- Role-based access control integrated with institutional identity systems
- Comprehensive audit logging with tamper-evident retention
- Model lifecycle governance: evaluation gates, version pinning, documented rollouts
- Grounded generation: agent responses anchored to approved institutional sources
- Human oversight: clinician review built into every sensitive workflow
- Documented incident-response and vulnerability-management processes
- Network segmentation and, where required, fully offline operation
Designed for the Japanese regulatory landscape
Our deployment patterns are designed to support institutions' obligations under Japan's regulatory framework for medical information and personal data.
| Personal information protection | Deployment patterns support institutional obligations under Japan's Act on the Protection of Personal Information (APPI), including purpose limitation, security controls, and supervision of any entrusted processing. |
|---|---|
| Medical information system guidelines | Architectures are aligned with the security guidelines for medical information systems maintained by the relevant Japanese ministries — covering information classification, access management, audit trails, and external-connection controls. |
| Anonymized & de-identified processing | Where research requires cross-site computation, workloads use appropriately anonymized or de-identified data, placed on the compute fabric according to sensitivity tier. |
| Institutional review | We support ethics-committee and information-governance review processes with architecture documentation, data-flow diagrams, and evaluation records. |
This page describes our design approach and is not legal advice. Final compliance determinations rest with each institution and its advisors.
Request our security documentation
Architecture overviews, data-flow diagrams, and control descriptions are available to institutional partners under NDA.