Work Documents and AI: What to Remove Before You Paste

Pasting a work document into an AI assistant can expose customer data, credentials, or company secrets that have nothing to do with the task.

Before asking an AI tool to summarize a report, rewrite an email, or analyze a spreadsheet, check what you are sending. The UK’s National Cyber Security Centre advises against putting sensitive information into public AI prompts.

The practical goal is to give the assistant enough context to help without sharing unnecessary sensitive information. That requires checking both the visible text and, when uploading a file, content you might not immediately see.

First check whether you can share the document

Confirm that your organization permits this type of information in the specific AI tool and account you plan to use. A personal account should not be treated as interchangeable with an employer’s approved workspace. If the document is restricted or permission is unclear, ask IT or security for an approved workflow.

Check the rules for access, retention, training, and connected apps. A setting that excludes content from model training answers only one part of that review. Removing sensitive details can reduce exposure, but it does not override your employer’s rules.

Remove credentials and anything that grants access

Start with passwords, API keys, access tokens, private keys, recovery codes, and database connection strings containing credentials. Also check troubleshooting logs, configuration files, and screenshots, where these details can be easy to overlook.

Replace the entire secret with a descriptive placeholder, such as [API_KEY_REMOVED]. Avoid leaving a partial credential when the task does not require it. Remove links containing access tokens or URLs that grant access to a private resource.

For a coding or troubleshooting request, provide a small example with dummy credentials. The model generally needs to understand the structure of the problem, not authenticate to your system.

The importance of protecting these values extends beyond chatbots, as reporting on API keys and other secrets exposed by AI companies on GitHub illustrates.

Strip personal details and identifying context

Remove names, personal email addresses, phone numbers, home addresses, government identification numbers, account numbers, and customer or employee IDs when they are unnecessary. Treat health information, payroll records, performance reviews, and disciplinary details as particularly sensitive.

Replacing a name with “Employee A” may still leave someone identifiable. A unique job title, small office location, exact incident date, and detailed account of an event can narrow down who the document describes.

The UK Information Commissioner’s Office explains that removing direct identifiers alone is insufficient to ensure effective anonymization. Context and the possibility of linking information matter too.

For a writing task, consider replacing the underlying case with a fictional example. For analysis requiring real records, use the approved data-handling process rather than assuming a quick name replacement has anonymized the dataset.

Cut confidential business and security information

Review the substance of the document as well as its identifiers. An unnamed company’s acquisition plan, unreleased product roadmap, negotiated discount, or revenue forecast can remain confidential.

OWASP’s guidance on sensitive information disclosure in AI systems identifies financial details, legal documents, business data, and security credentials among the information requiring protection.

Depending on the task and your employer’s policy, remove or substitute:

• Unpublished financial results, budgets, margins, and forecasts.
• Customer lists, contract terms, pricing agreements, and sales opportunities.
• Proprietary source code, product designs, and research findings.
• Internal hostnames, network diagrams, vulnerability details, and incident-response information.
• Legal advice, litigation strategy, and confidential personnel decisions.

If you only need help making an email clearer, the exact contract value or customer identity may add nothing useful. Replace them with placeholders and insert the real details later in your approved editor.

If those details are essential to the requested analysis, do not change them and then rely on the answer as though it describes the original document. Move the task to an environment approved for that information.

Check hidden content before uploading a file

Pasting a short text excerpt and uploading an entire file require different checks. An upload can include content outside the paragraph or worksheet you intended the assistant to use.

Microsoft’s Document Inspector guidance identifies potential hidden content, including comments, tracked changes, document properties, hidden spreadsheet rows and worksheets, and presentation notes.

In supported Office desktop apps for Windows, work on a copy and use File > Info > Check for Issues > Inspect Document. Word for Mac does not include Document Inspector; check document properties, comments, tracked changes, and other potentially sensitive content manually. Review what it finds before removing anything: Microsoft cautions that removal may be irreversible and that some items require manual attention.

Also inspect screenshots for names, email addresses, browser tabs, internal URLs, and notifications. For PDFs, use a proper redaction tool, apply the redactions, and save a separate copy. Also remove unnecessary metadata, comments, attachments, and other hidden content. Reopen the saved copy to verify the result; drawing a black rectangle over text does not remove the underlying content.

Where possible, copy only the needed text into a separate local draft and inspect that exact excerpt before sending it.

Give the AI a smaller job

For many editing tasks, you can describe the situation without supplying the original document.

Instead of pasting a customer email thread containing names, account details, and pricing, try:

“Draft a brief, professional email explaining that a delivery will be delayed. Acknowledge the inconvenience and offer a revised timeline. Use [CUSTOMER] and [DATE] as placeholders.”

That gives the assistant the purpose, tone, and structure without disclosing the customer’s record. Add the real details afterward in your organization’s approved system.

Do the cleanup before sending the content. Asking an unapproved chatbot to remove confidential information still requires giving it that information first. Likewise, “keep this private” in a prompt is not a replacement for verified security controls. OWASP warns that prompt restrictions can be bypassed.

Make the final check about what remains

Read the exact text or file you are about to submit. Check whether the remaining details identify someone, reveal a business secret, or provide access to a system. Then confirm that the approved tool permits what remains.

Keep the same care around the browser and any extensions you use. Reporting on malicious Chrome extensions that stole AI conversations shows why the surrounding software deserves scrutiny too.

For security teams, this is also a governance task. Organizations should publish a list of approved AI tools and permitted data categories, with concrete examples showing what employees can share, what they must remove, and when they should ask for help. That gives staff a usable alternative to the unapproved services behind the wider security challenge posed by shadow AI.

If you have already submitted a restricted document or live credential, stop sharing more and notify your security team through its incident-reporting process. An exposed credential may need revocation or rotation; do not assume deleting a chat resolves the exposure.

The useful habit is to define the task first, then share the smallest approved excerpt that can accomplish it. If you cannot confidently separate the useful context from the sensitive material, get help before pasting.

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