Using AI at work safely: personal data and confidential information
What not to paste into AI, how to swap in fake values when you must, and what to check before you start.
8 minAs of Oct 2026
By the end of this guide
- Tell apart the personal and confidential data that must never go into AI tools.
- Replace real data with fake values (masking) so you can still ask your question.
- Know what to check in a service's data settings and in your company's rules.
Who this is for
- Anyone who hesitates every time before pasting work material into AI
- Anyone who has to set AI rules for a team
What you need
- The chat assistant you use for work
- Your company's information security policy, if there is one
Step by step
Know what must stay out
Whatever you paste into a chat assistant is sent to the provider's servers. Depending on the service and your settings, conversations may be stored or used to improve the service — so anything that mustn't leave the company shouldn't go in at all.
What to keep out, and what to do instead Type Examples Instead Personal data Names with contact details, ID numbers, bank or card numbers, addresses Fake values such as "Customer A" and "000-0000-0000" Customer and HR data Customer lists, support logs, salaries, reviews Describe the structure, or use a made-up sample Confidential business Unreleased results, contract terms, product plans A general question with numbers and names removed Access details Passwords, API keys, server addresses Never paste them (write "YOUR_API_KEY" in code) Swap in fake values (masking)
If the assistant needs to see the data to help, keep the structure and change the values. With the same fields and format, it can answer almost exactly as it would with the real thing.
Real values and their replacements (example) Field Real data (keep out) What to paste instead Name Minjun Kim Customer A Phone 010-1234-5678 000-0000-0000 Address Unit 301, 12 ○○-ro, Mapo-gu, Seoul Seoul Message My order still hasn't arrived after three days Keep as is (if it holds no personal data) Example prompt I want to sort customer messages by type. Below is a sample with names and numbers replaced by fake values. Customer A / 000-0000-0000 / My order still hasn't arrived after three days Customer B / 000-0000-0000 / I'd like to change the account for my refund Customer C / 000-0000-0000 / My coupon won't apply Suggest criteria for sorting messages into delivery, refunds, payment and other.
Example AI reply Here are criteria you could use.
Delivery: late arrival, address change, damage — Customer A
Refunds: refund requests, changing the refund account — Customer B
Payment: coupons and discounts, payment errors — Customer C
Other: anything that fits none of the above
Check it
- Before you send, skim what you pasted once more for any real names, numbers or addresses left behind.
Check the service settings and company rules
Services differ in how long they keep conversations, whether they use them to improve the service (train models) and how you switch that off. Personal and business plans often have different terms. Before you start, read the data and privacy parts of the settings and the terms.
If your company has rules for AI, they come first. If there's a list of approved services, stick to it.
Check it
- Have you checked the settings for chat history and for use of your data in training?
- Is this an approved service, and is it clear how much work material may go into it?
Before you use the result
AI output can also contain someone else's personal details or sentences lifted from elsewhere. For anything you share outside, check once more for personal data and for sentences that need a source.
Common mistakes
- Pasting a whole customer list or contract "just for a quick summary"
- Pasting config files or code that still contain API keys
- Handling company material in a personal AI account
References
- Gemini Apps Privacy Hub — Gemini Apps Help
- Generative AI in Google Workspace Privacy Hub — Google Workspace Help
- Is my data used for model training? — Anthropic Privacy Center
- 생성형 AI 서비스 이용자를 위한 개인정보 보호 가이드 — 대한민국 정책브리핑 (개인정보보호위원회)