Healthcare AI

Keep sensitive patient data under policy at the model boundary.

Interdict sits between healthcare applications and supported AI providers so teams have one runtime checkpoint for sensitive-data handling, prompt-injection controls, provider/model policy, response inspection, budgets, and audit metadata.

runtime pathpolicy active
Application contextPatient and workflow context
nameDOBphoneemailSSNworkflow text
Interdict enforcement layerDetect → decide destination → transform → forward
BLOCKREDACTALLOWVERIFY
approved pathVerifier / tool
minimal contextAI provider
The operating problem

The model call is a data boundary, not just an API request.

Data can be well protected in source systems and still be assembled into prompts, tool arguments, retrieved context, or model responses. Interdict focuses on the runtime handoff where the application is about to send that context outside its own boundary.

Clinical documentation

Inspect structured sensitive data before note-generation or summarization requests leave the application boundary.

Patient support

Apply one runtime policy to AI-assisted support workflows that can receive patient or account context.

Identity workflows

Keep raw identity fields away from the model when an approved verification path can handle them separately.

Runtime controls

One checkpoint for the decisions application code should not have to duplicate.

01

Detect and classify supported PII

Inspect supported structured PII types in the request path before forwarding to the provider.

02

Block, redact, allow, or verify by policy

Choose a model action and, where configured, a separate approved verification destination for sensitive identity data.

03

Inspect responses on the way back

Apply response-side inspection and protected streaming controls before model output returns to the application.

04

Record the enforcement decision

Keep policy and audit metadata without putting the raw prompt or response into the audit record.

Start with evidence

Find out what your healthcare AI workflow is prepared to send.

Evaluate a representative request path before deciding whether Interdict belongs in production.