HIPAA-aligned AI for patient-facing workflows.
Clinical AI is moving faster than healthcare compliance can keep up. 2Trust.AI sits between your teams and every LLM — de-identifying PHI before it reaches a model, logging everything, and making your AI program auditable for OCR, CMS, and accreditation bodies.
Healthcare AI needs guardrails that hold up to a breach investigation.
PHI in every prompt
Clinicians and care coordinators naturally include patient details — names, DOBs, diagnoses, medications — in AI prompts. Without automated de-identification, every prompt is a potential HIPAA incident.
BAA ambiguity
Major AI providers offer BAAs, but the terms vary widely. Knowing which models are covered, under which conditions, and for which use cases requires active governance — not a checkbox.
Cross-org data bleed
Integrated delivery networks and hospital systems share infrastructure but must maintain patient data separation. A shared AI layer without tenant isolation is a compliance liability waiting to happen.
Ship clinical AI tooling without the compliance ambiguity.
Automated de-identification
Named entity recognition strips 18 HIPAA identifiers — names, dates, geographic data, contact information, account numbers, device identifiers, biometric data — from prompts before they reach any model.
Approved model routing
Define your approved model list with BAA status and use-case scope. 2Trust enforces that clinical workflows only route to covered providers, and blocks unapproved models at the proxy layer.
Per-org data walls
Hard tenant boundaries ensure that patient data from one facility or entity never appears in the context of another. Audit logs are scoped per org. Policy changes at the network level don't touch entity policies.
OCR-ready logging
Every prompt and response is logged with user identity, timestamp, and patient context metadata. Exportable in formats suitable for OCR investigations and accreditation audits. Retention configurable per jurisdiction.
No data leaves your cloud
Run entirely inside your AWS, Azure, or GCP environment. Nothing transits 2Trust infrastructure. Satisfies the most restrictive health system data residency policies, including DoD and VA requirements.
AI risk classification
Wizard-driven risk classification maps each AI use case to its HIPAA risk tier, relevant OCR guidance, and NIST AI RMF controls. Output is a structured risk register, not a slide deck.
Ready to make clinical AI auditable?
We'll map your current AI surface to your HIPAA obligations and show you what a compliant deployment looks like inside your VPC.
Book a demo