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Give AI agents access to documentation through the narrowest retrieval path that can do the job. Keep broadly available context free of unnecessary personal or confidential information; fetch protected material only when needed; and have trusted backend code authenticate the user and authorize every protected request. Prompts can guide an agent, but they cannot enforce access control.
Separate shared knowledge from protected records
Do not put private information in a knowledge file that is broadly available to an agent or shared across users. Instead, decide which material belongs in general context and which must remain behind a protected retrieval service.
| Information category | How to make it available | Key safeguard |
|---|---|---|
| Public or low-sensitivity documentation | Provide it as stable context when it is relevant to the task. | Review it for personal information, credentials, and other material that does not belong in shared context. |
| Internal material | Expose only to the people and agent tasks that need it. | Define who may retrieve it and which sources and operations the agent can use. |
| Confidential or restricted records, including PII and customer data | Fetch on demand through a protected service after the user and request have been authorized. | Return only the fields or excerpt needed for the task, not a full record or collection. |
This classification-and-minimization approach is consistent with OWASP guidance on reducing sensitive data in agent context. Make Academy likewise advises against storing PII in knowledge files and recommends fetching sensitive data on demand.
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Build a protected retrieval path
For private documentation, authorization belongs in the trusted service that performs retrieval—not in the agent’s prompt. Bind each request to an authenticated user or session, check that user’s permissions for the requested resource, and return only what the task requires.
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- Authenticate the person. Establish the user’s identity before allowing access to protected material. A session identifier alone is not proof of authentication.
- Bind retrieval to that identity. Pass the verified user or session context to the backend service handling the request; do not let the agent choose whose permissions to use.
- Authorize each protected request. Check access to the specific resource in the service that retrieves it. Do not assume that authorization for one request covers later requests.
- Minimize the response. Return the smallest useful excerpt or structured fields. Avoid sending an entire database row, directory, or document collection when only part is needed.
- Fail closed. If authentication or authorization cannot be validated, do not return the protected content.
For an MCP endpoint serving non-public data, OWASP guidance calls for authentication, validation that a token was issued for the intended server, rejection of invalid tokens, and not forwarding MCP access tokens to upstream APIs. These checks belong in the endpoint and its surrounding backend—not in model instructions.
Limit what the agent can do
Retrieval is only one part of the security boundary. A manipulated document or tool response could try to redirect an agent toward other data or actions. Limit the impact by granting only the capabilities the task requires.
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- Start with no access and explicitly grant only the needed document sources and operations. OWASP’s DevSecOps guidance puts it plainly: “Start from deny and allow explicitly.”
- Keep read-only access separate from write access. Use scoped, short-lived credentials where feasible.
- Run the agent in a sandbox or isolated environment, and restrict outbound network access to required destinations.
- Validate tool inputs and outputs, and enforce permissions in trusted code whenever the agent makes a subsequent call.
- Require a human review or approval for sensitive data-sharing or other consequential actions when the risk warrants it.
A permission prompt is not a substitute for isolation. OWASP’s DevSecOps guidance warns that prompts are not a security boundary against a manipulated agent; isolation is.
Treat retrieved content as untrusted data
Documentation, webpages, and MCP tool responses can contain instructions designed to manipulate an agent. Make clear in the system design that retrieved material is data to analyze, not authority to change the agent’s rules or permissions. Still, do not rely on the model to detect every injection: constrain available tools, validate calls, and make the backend enforce access independently.
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OWASP’s AI Security and Privacy Guide describes least model privilege as minimizing what a model can do or access so that manipulation or mistakes cause less harm. In practice, the agent should receive only the information and tools required for its assigned task.
Review connectors and logging before launch
Assess each connector
A connector creates a separate trust boundary. Before connecting a retrieval service, determine what information it receives, who operates it, what permissions it has, and what retention and data-residency practices apply. OpenAI notes that MCP servers are third-party services subject to their own terms and data policies. Obtain approval before sensitive data is shared when your risk process requires it.
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Keep useful audit records without copying secrets
Monitor retrieval and tool calls for auditing and unusual access, but redact secrets and personal information from logs. Define retention and deletion rules for the audit records themselves. Logging should help identify access patterns without becoming another store of sensitive data.
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Use this implementation sequence
- Inventory and classify the documentation. Mark content as public, internal, confidential, or restricted. Identify PII, credentials, customer records, and other sensitive material; remove or anonymize content that does not belong in shared knowledge files.
- Choose what can be shared as context. Provide stable, low-sensitivity documentation where it helps the task. Keep sensitive records out of broadly shared context.
- Create a narrow retrieval service for protected content. Make it fetch only the records needed for a permitted task and return a minimal excerpt or set of fields.
- Connect identity to every request. Authenticate the person and authorize the requested resource in backend code for each protected retrieval.
- Constrain the agent and its environment. Grant specific sources and operations, separate read from write, and use isolation and controlled network access.
- Test the boundaries. Verify that an unauthenticated user, a user without permission, an invalid token, or a request for an unrelated record receives no protected content. Confirm that authorized retrieval returns only the intended information and that logs do not expose secrets or PII.
- Review third-party handling and operations. Check connector permissions, operator, terms, retention, and residency; set audit-log retention and deletion rules; and decide where human approval is required.
What this guidance does not determine
These controls describe a security architecture, not a platform-specific setup. They do not establish crawler directives, documentation-format conventions, or the current behavior of any particular agent platform. Check the chosen platform’s official documentation before configuring its crawler or retrieval integration. No numerical risk estimate is established here, so a statistic would not be a sound basis for the design.
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