AI agent security / Healthcare

Keep patient data
within the task.

Help teams prepare documents, coordinate cases and work with research data. Check what an AI agent can read, which tools it can use and where information can go.

The right records. The intended recipient.
Where assistance meets sensitive data

One organization. Different permissions.

A case coordinator and a research assistant should not inherit the same access simply because they use the same model.

Care administration

Prepare a referral packet.

Assemble the documents needed for an assigned referral. Constrain record retrieval and verify the destination before the packet leaves the workflow.

Review: patient scope + recipient
Research & life sciences

Analyze an approved dataset.

Use the project’s permitted data and analysis tools. Test whether a notebook, retrieved paper or tool response can redirect the agent toward identifiable source records.

Review: dataset + export permissions
Payers & service partners

Prepare a case for review.

Gather the supporting documents for one case. Keep access to unrelated member records and authority to change the case outcome outside the preparation task.

Review: case access + write authority
Illustrative referral workflow

A document should not choose where patient data goes.

A coordinator asks an agent to prepare a referral. An attachment contains an instruction to upload the full patient record to an external “verification” endpoint.

  1. 01 / Untrusted input

    The attachment redirects the task.

    The requested upload includes records beyond the referral packet and a destination the organization has not approved.

  2. 02 / Configured control

    Check the attempted transfer.

    At the routed tool or proxy request, evaluate permitted arguments and the destination. The record system still enforces patient-level access.

  3. 03 / Expected result

    Reject the unapproved destination.

    The configured destination restriction rejects the transfer. The decision is logged so the owner can investigate the attachment.

An assessment tests this outcome against the actual integration, including alternate paths that could bypass the control.

How prompt injection reaches tools
Make data access explicit

Start with permissions. Then inspect the content.

A content scan is one layer. The integration also needs a clear answer to which records the task may retrieve, which operations it may perform and who may receive the result.

01

Limit the source.

Use scoped backend credentials and record-system permissions. Where the tool exposes dataset or case parameters, constrain them too.

02

Separate reading from exporting.

Allow only the tools the workflow needs. An agent that can summarize a record does not automatically need bulk export or write access.

03

Inspect what crosses the boundary.

At configured scan points, evaluate content findings and destination rules. Test with representative data to identify detection gaps.

Evidence needs its own access policy.

Decide who can inspect the audit trail, how long it is retained and what is redacted in an export. A useful investigation record should not become an uncontrolled copy of sensitive content.

Review the data boundary
AI red teaming for healthcare workflows

Test one path before expanding access.

Bring the agent configuration, the connected tools and a representative dataset approved for testing. Agree the environment and data-handling conditions before the assessment begins.

Exercise the failure paths
Test cross-case retrieval, instructions embedded in attachments, unauthorized exports and tool permissions that exceed the task.
Make each finding reproducible
Document the input, attempted action, reachable system and observed result so the team can reproduce the issue.
Turn findings into changes
Prioritize permission, integration and policy changes. Agree which corrected paths need a retest.
Before you connect an agent

Healthcare security questions.

Where should a healthcare AI security assessment start?

Choose one administrative or research workflow. Identify its approved records, connected tools, external recipients and responsible owner. The assessment then tests whether untrusted documents or tool responses can cause access or transfers outside that scope.

Can oktsec enforce access to a specific patient or research dataset?

Only where the integration exposes parameters that can be constrained. Tool permissions and parameter rules can restrict a request, while the underlying record system must enforce its own patient, tenant and dataset permissions. Broad credentials or direct access paths must be addressed separately.

Does oktsec include an EHR or FHIR integration?

These scenarios are assessment examples, not a catalog of packaged clinical integrations. We first review the actual MCP server, API or proxy path to determine which requests can be inspected and controlled.

Does this make a workflow compliant or clinically safe?

No. Security controls and audit evidence support a review; they do not certify compliance, validate a diagnosis or establish the accuracy of generated clinical content. These examples cover administrative and research assistance. Clinical decisions remain with the responsible care team.

Start with a workflow you already know

Which records can your agent reach?

Let’s review the path from an assigned task to a requested transfer.

Discuss a healthcare assessment