Health information custodians are accountable for every disclosure, yet AI tools now read across the patient record. Globenova lets clinicians and researchers use AI on health data while it stays in your custody and every decision stays on the record.
Summarization and assistant tools now read across encounters, departments, and the most sensitive parts of a patient's history. Under health-information privacy law you remain accountable for every use and disclosure, including disclosures a model makes on your behalf. Sending records to a general-purpose cloud is rarely defensible, and after-the-fact logging cannot stop a disclosure that has already happened. The need is to keep the data in custody, enforce the circle of care at the moment of use, and show the privacy office exactly what was accessed and why.
Every prompt, retrieval, tool call, and response your teams' AI makes passes through Sentinel first. It classifies what is flowing and who is handling it, then allows, redacts, blocks, or escalates in real time, and records every decision to a tamper-evident log. For health information it enforces circle-of-care limits, applies heightened handling to mental-health, reproductive-health, and genetic information, and gives the privacy office a record it can examine on demand.
Forge generates high-fidelity synthetic data inside your environment, so models can be built and tested without the protected source ever leaving custody. Research teams get realistic datasets, with a stated privacy budget and fidelity attestation, so studies proceed without the real records ever leaving the institution.
A clinician uses an AI tool to summarize a patient's history. Globenova enforces the circle of care, blocks combinations that would cross a sensitivity boundary, and records each decision so the privacy office can review it.
Mental-health, reproductive-health, and genetic information are treated as elevated sensitivity, with stricter rules than the rest of the record, applied automatically at the point of use.
A research team needs a realistic dataset. Forge generates a synthetic version inside your environment, with a privacy budget and fidelity attestation, so the real records never leave.
Every access, redaction, and block is written to a tamper-evident log, so you can answer an enquiry with records rather than recollection.
Globenova is built for these frameworks and is designed to support them in deployment. These statements describe what the platform is engineered toward, not a claim of certification by any regulator.
A short working session on where AI tools in your environment reach patient data today, where you are accountable, and what Globenova would inspect at each point. Your environment, your synthetic data, no commitment.