Compliance-ready architecture
Security and governance are product requirements, described here as architecture and process expectations prior to formal audit.
Trust & Security
Trust & Security Center
Healthcare B2B procurement and transparency area for architecture, privacy boundaries, access governance, clinical oversight, and vendor status.
MedicalBot communicates security and governance capabilities based on documented architecture, implementation scope, and verified agreements. Certification or regulatory status is presented only when formally established.
Overview
Our trust approach
MedicalBot earns evaluation confidence through environment separation, transparent labelling, and clear documentation of security and governance capabilities. Nothing on this page is a certification, audit result, or compliance attestation — those are published only when formally established.
Transparency commitments
Certifications, regulatory status, and compliance attestations are published only when formally established. We do not claim what we have not verified.
Procurement-ready documentation
Pages below map to common security questionnaire themes with clear status for available, planned, and deployment-dependent capabilities.
Public site vs secure application separation
This marketing website and public demos are intentionally separated from any future secured product environment that would process sensitive clinical data under contractual and technical controls.
Security architecture principles
Defence-in-depth, environment separation, and least-privilege access form the foundation of our security architecture.
Data minimisation
Collect and process only what a workflow requires. Public surfaces are limited to marketing and B2B inquiry data. Sensitive data belongs only where controls are configured.
Access governance
Role-based access, organisation isolation, and access review are designed to support staff and admin controls in secured product environments.
Consent architecture
Caller, patient, and staff consent patterns are organisation- and jurisdiction-specific. Product direction is to support configurable consent capture where channels require it.
Auditability
Assistive actions that matter for oversight are designed to support reviewable event trails — who proposed, who approved, who escalated — in secured deployments.
Human oversight
AI assistance is scoped for workflows with escalation and clinician or staff review where required. MedicalBot does not diagnose disease.
Vendor governance
Third-party services are published in a subprocessor registry with honest status labels. No vendor is listed as Active unless selected.
Incident response
Our incident response process covers detection, containment, assessment, communication, recovery, and post-incident review.
Responsible AI
Transparency, narrow task design, source grounding, evaluation, change control, monitoring, and escalation are first-class product expectations.
Explore
Trust Center topics
Deep links for security, privacy, data handling, access, clinical governance, responsible AI, subprocessors, and incident response.
Security
Architecture principles and control expectations
Privacy
Data categories at a product-architecture level
Data handling
Public vs demo vs secure processing boundaries
Access controls
Roles, isolation, MFA, and review expectations
Clinical governance
AI scope, escalation, and human oversight
Responsible AI
Transparency, grounding, evaluation, and change control
Subprocessors
Vendor categories and publication statuses
Incident response
High-level public process stages
Related pages: Privacy · Medical disclaimer · Accessibility
Policy downloads, customer questionnaire packs, and formal attestations are linked here when verified documents exist.
See MedicalBot in a guided demo
Book a product walkthrough with our team. We discuss architecture, governance patterns, and fit for your organization — without collecting PHI.
Do not submit protected health information (PHI) on this website.