Give an agent approved, low-sensitivity documentation as general context, but keep private records behind an authenticated retrieval service. That service—not the model—must verify who is asking, check what they may access on every request, and return only the information needed for the task. Keep the agent’s tools and network access narrow, treat retrieved content as untrusted, and audit access without storing secrets or unnecessary personal data.
Use two paths: shared knowledge and protected retrieval
Separate documentation the agent may use broadly from material that requires a person-specific permission check. A knowledge file or shared context is a poor place for private information: anyone or any process with access to that context may receive it. Keep such material out, or remove or anonymize it before sharing.
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Shared context for approved general information
Use stable documentation that has been reviewed for its intended audience, such as general procedures or product guidance. Classify it before adding it to agent context, and remove credentials, personal information, customer records, and other content that does not belong there. “Internal” does not automatically mean suitable for every agent or user; set access according to the information and the audience.
On-demand retrieval for private material
Keep sensitive records in their protected system of record. When a permitted task needs them, have a narrowly scoped service retrieve only the relevant excerpt or fields. Do not send an entire database row, document collection, or customer history when a small answer will do. This reduces how much private information enters the model’s context and how much could be exposed in a response or later tool call.
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Enforce access in the service, for every request
Authenticate the person before agent interaction, then bind each protected retrieval to that verified identity or session. The backend service that performs the retrieval must check whether that person is allowed to access the specific requested resource on that specific request. A prompt telling the agent to show only authorized information is not an access-control mechanism: the model should not be trusted to enforce permissions.
For an MCP endpoint that exposes non-public data, OWASP guidance calls for authentication, checking that a token was issued for the intended server, and rejecting invalid tokens. Do not treat a session identifier as proof of identity, and do not forward an MCP access token to an upstream API. The retrieval service should use its own appropriately scoped authorization with the upstream system.
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A protected retrieval flow should therefore look like this:
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- The application passes verified identity and request context to the retrieval service; the model does not get to assert or change the user’s permissions.
- The service checks the requested resource against that user’s permissions and retrieves only the allowed material.
- The service returns the minimum useful excerpt or structured fields to the agent.
- The service records an audit event with sensitive values redacted.
Limit what the agent can do if content is manipulated
Documentation, web pages, and tool responses can contain instructions intended to redirect an agent or make it disclose data. Treat retrieved material as untrusted data, not as instructions that can override the application’s rules. OWASP’s DevSecOps guidance says to “Start from deny and allow explicitly”; its AI Security and Privacy Guide describes least model privilege as minimizing what a model can do or access to reduce harm if it is manipulated or makes a mistake.
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- Start with no access and grant only the specific document sources and operations needed for the job.
- Separate read-only retrieval from write or sharing actions. Use scoped, short-lived credentials where feasible.
- Validate tool inputs and outputs in trusted code, and enforce permissions again before any consequential follow-on action.
- Run the agent in a sandbox or isolated environment and restrict outbound network access to necessary destinations.
- Require human review or approval for sensitive data sharing or other consequential actions when the risk warrants it.
Do not rely on a warning in the system prompt or a permission prompt as the main defense against a manipulated agent. OWASP’s DevSecOps guidance emphasizes isolation as a security boundary; the permissions must still be enforced by the backend.
Review connectors and log access safely
A connector is another trust boundary, not just a convenient route to documents. Before enabling one, determine what data it sends, who operates the service, what permissions it receives, and its retention and data-residency practices. OpenAI’s MCP guidance notes that MCP servers are third-party services subject to their own terms and data policies. Do not connect a service to sensitive sources until its data handling and authorization model are acceptable for those sources.
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Log enough to investigate unusual access and understand which tool or resource was used, but redact secrets and personal data rather than copying retrieved content into logs. Set retention and deletion rules for audit records as well as the underlying documents. Monitor for unusual access patterns, such as repeated attempts to retrieve resources the user cannot access.
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Use this sequence to make the access boundary explicit before agents rely on the documentation:
- Classify the material. Mark information as public, internal, confidential, or restricted according to your organization’s policy. Identify personal information, credentials, customer records, and other sensitive content.
- Clean shared context. Review existing knowledge files and remove or anonymize material that should not be broadly available to the agent or its users.
- Define the retrieval boundary. Specify which private sources and fields the service may query, which tasks need them, and what minimum result is sufficient.
- Implement identity-bound authorization. Authenticate users and make the service check access to each resource for each protected request. Do not infer permission from a prompt, a user-supplied identity, or a session identifier alone.
- Constrain the agent and connector. Grant only necessary tools, operations, credentials, and network destinations; assess the connector’s operator, permissions, retention, and residency practices.
- Test the boundary. Verify that an unauthenticated request is rejected, a user cannot retrieve another user’s records, and a request for a broad collection returns no more than the authorized task requires. Include adversarial document text in testing and confirm that it cannot grant new access or bypass backend checks.
- Review audit behavior. Confirm that access events are useful for investigation while excluding secrets and unnecessary personal data, and that retention and deletion rules are applied.
The exact way an agent discovers documentation, follows crawler directives, or consumes a particular format depends on the chosen platform. Check that platform’s current official documentation for those mechanics; they do not replace the authentication, authorization, minimization, and isolation controls above.
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