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Control evaluation · Practical playbook

Evaluate every in-scope AI file upload path

Employees can attach the same file through different interfaces. A paperclip-button test cannot establish drag-and-drop behavior, and a local upload does not establish cloud-import protection. Build an explicit path inventory before reporting file coverage.

For Endpoint and security teams evaluating document sharing

Synthetic example

A fictional procurement brief reaches the composer

A buyer wants to summarize a synthetic supplier brief. The pilot evaluates the local attachment interfaces employees actually use, then records other available routes as separate questions.

What you are working with

  • A small synthetic document containing a known restricted fixture and useful non-sensitive instructions.
  • A benign counterpart with the same format, approximate size and filename pattern for comparison.
  • A list of visible upload interfaces, including attachment selection, drag and drop and multiple-file selection.

A safer approach

  • Map supported interfaces with the vendor before treating any route as covered by the product.
  • Use dedicated test accounts and fictional files that remain safe even if a test submission succeeds.
  • Treat cloud connectors, project libraries and shared conversation attachments as distinct paths needing separate authorization and scope.

Expected outcome: The evaluator knows which attachment paths are prevented, sanitized or allowed, and which paths remain outside the verified pilot boundary.

Put it into practice

Work through the procedure

  1. Inventory the entry points

    Open the chosen AI interface and list the ways a user can supply a document. Separate local uploads from references to files already held by the provider. Record available routes even when they are excluded, so a successful local test does not silently imply connector coverage.

  2. Run a single-file matrix

    Upload the same fixture through each agreed local interface. Record whether inspection occurs before attachment, before prompt submission or after the document is accepted. Confirm the expected action with the policy owner rather than assuming every restricted file should be redacted.

  3. Exercise mixed attachments

    Where multiple-file submission is supported, combine one restricted fixture with one benign document. Check the outcome for each attachment and the enclosing prompt. If one file fails inspection, identify whether the entire action stops or another documented behavior occurs.

  4. Record boundaries and recovery

    Add an agreed unsupported format or size case and observe the message and next step. Confirm how the user safely removes, replaces or retries an attachment. Keep resulting files when available so the observed upload behavior can be reviewed independently.

Evidence before approval

What to check before proceeding

1. Path completeness

Ready when
Every approved local upload route has an individual result and a recorded policy action.
If the check fails
Keep untested routes outside the deployment claim and schedule their evaluation.

2. Attachment integrity

Ready when
Allowed or sanitized files can be identified and remain usable for the approved task.
If the check fails
Investigate corruption, incomplete processing or attachment substitution before approving the workflow.

3. Unsupported behavior

Ready when
An uninspectable attachment produces the agreed outcome and understandable user guidance.
If the check fails
Define an interim restriction instead of assuming the file was scanned.

Common mistakes to avoid

  • Using provider acceptance of an attachment as proof that a security inspection completed successfully.
  • Reporting connector imports as covered because the same document format passed a local upload test.
Workforce AI Security

Evaluate this workflow with Aona

Where Aona can help

Bring the upload-path inventory to Aona engineering and agree which file workflows can be evaluated in the current product.

What to confirm

Do not infer equal redaction across every interface, provider, native application or file size from a single supported upload.

Evaluating a control for your organization?

Bring your target AI tool, device and acceptance criteria. Review the supported control path, the evidence you need and any limitations before deciding on a pilot.

FAQ

Questions about this workflow

Begin with formats your employees need and the vendor agrees are supported. Record excluded formats explicitly, then add them only when a business requirement justifies further evaluation.
Technical evaluation

Evaluating a control for your organization?

Bring your target AI tool, device and acceptance criteria. Review the supported control path, the evidence you need and any limitations before deciding on a pilot.

Test AI DLP File Upload Paths | Aona AI