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Healthcare AI security

Secure AI across patient, clinical, and operational workflows

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

Healthcare AI crosses more than one security boundary

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

Map connected healthcare AI

See the supported models, data sources, and tools behind patient-facing assistants, staff copilots, and operational AI applications.

Challenge AI before it reaches users

Test for prompt injection, sensitive-data exposure, and unsafe tool use through supported browser and API workflows.

Guard production interactions

Apply ARGUS policies at supported enforcement points while the application retains responsibility for identity, authorization, and clinical decisions.

Review findings and policy outcomes

Review attack paths and runtime events to see what was exposed, attempted, flagged, or blocked, then retest after changes.

What Repello gives your team

Apply security to the healthcare AI you actually run

Assess the risks of each connected workflow, from a patient support assistant to an internal copilot or administrative agent.

Test the risks specific to each role

  • Probe patient-facing assistants for cross-user disclosure.
  • Challenge staff copilots with untrusted retrieved content.
  • Test whether connected operational agents attempt actions outside the intended task.

Carry evidence into production

  • Give application owners the attack path and mitigation guidance.
  • Apply configured policies to supported live interactions.
  • Review whether an event was flagged or blocked and retest as the workflow changes.

Frequently asked questions

What to know before deployment.

Which healthcare AI workflows can Repello assess?

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.

Can Repello test prompt injection in clinical or operational content?

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.

Do we need real patient records for red teaming?

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.

Can Repello assess an AI agent that uses healthcare tools?

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.

How do runtime guardrails help after testing?

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.

What evidence can healthcare teams review?

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.

Does Repello certify clinical safety or healthcare compliance?

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

Get a personalized Repello demo.

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.