Map connected healthcare AI
See the supported models, data sources, and tools behind patient-facing assistants, staff copilots, and operational AI applications.
Healthcare AI security
Map the data and tools behind healthcare AI. Test patient-facing assistants, staff copilots, and operational agents for prompt injection, data exposure, and unsafe tool use. Apply guardrails to supported live interactions.
The challenge
Patient support, clinical documentation, staff knowledge, and administrative workflows each connect AI to different people, data, and tools. Untrusted content can redirect an assistant, expose sensitive information, or trigger an unintended action.
The Repello approach
Inventory maps supported AI applications and their data and tool connections. ARTEMIS challenges the behavior of connected browser and API workflows. ARGUS applies configured guard policies to supported production interactions and records what happened.
How Repello helps
See the supported models, data sources, and tools behind patient-facing assistants, staff copilots, and operational AI applications.
Test for prompt injection, sensitive-data exposure, and unsafe tool use through supported browser and API workflows.
Apply ARGUS policies at supported enforcement points while the application retains responsibility for identity, authorization, and clinical decisions.
Review attack paths and runtime events to see what was exposed, attempted, flagged, or blocked, then retest after changes.
What Repello gives your team
Assess the risks of each connected workflow, from a patient support assistant to an internal copilot or administrative agent.
Frequently asked questions
Repello can assess supported patient-facing assistants, clinical documentation and staff knowledge copilots, and operational workflows such as scheduling or administrative support. Inventory maps connected applications; ARTEMIS tests supported browser and API experiences. Coverage depends on how each workflow is connected.
Yes. ARTEMIS can test whether untrusted retrieved content or user input redirects a supported assistant, causes sensitive-data exposure, or leads to unintended tool use. It assesses application security behavior, not the clinical accuracy of an output.
No. Synthetic records and test identities can reproduce the access boundaries you need to assess. Define the test environment and permitted actions with the application owner before running it.
For supported browser and API workflows, ARTEMIS can probe whether prompts or untrusted content lead an agent to misuse a connected tool or act outside its intended task. The underlying system must still enforce role permissions, approvals, and transaction rules.
ARGUS can monitor connected application interactions and enforce configured policies at supported points. Its event record shows whether an interaction was flagged or blocked. The application still needs its own identity, authorization, and data-access controls.
Inventory shows supported application connections, ARTEMIS provides attack findings and mitigation guidance, and ARGUS records runtime policy events. Teams can use this evidence to investigate and retest a security boundary; it is not a clinical evaluation.
No. Repello provides AI security testing, visibility, and runtime policy evidence. Clinical validation, patient-care decisions, and compliance assessments require separate review by the teams responsible for them.
See Repello in action
Bring a patient-facing assistant, staff copilot, or operational agent. See its connections, test the security boundaries that matter to its users, and review policy outcomes during live use.