To keep business data safe when using AI, decide what counts as sensitive, keep that data out of consumer AI tools, and choose business plans with clear data terms for anything confidential. A short written policy plus a few habits protects you without slowing the team down.
This breakdown covers the essentials. For a full checklist, read our AI governance checklist.
What not to paste into AI
- Customer personal and payment details
- Bank and account numbers
- Passwords and login credentials
- Confidential contracts and trade secrets
Choosing safer tools
Consumer free tools may use inputs to train models. Business and enterprise plans often offer stronger data terms, so use those for anything sensitive and confirm the terms first.
Treat the figures below as third-party research and general context, not a forecast for your own business.
A simple data policy
- 1
Define sensitive data
List what staff must never paste into AI..
- 2
Approve tools
Name which AI tools are allowed for what..
- 3
Set review rules
Require human checks on AI output..
- 4
Train the team
Make sure everyone knows the policy..
A real-world reference
McKinsey's State of AI research identifies data and security management as ongoing priorities for organizations using AI.
Frequently asked questions
Is it safe to use AI for business? +
It can be, with the right habits. Keep sensitive data out of consumer tools and use business plans for confidential work.
What should I never put into AI? +
Customer personal and payment data, account numbers, passwords, and confidential contracts.
Do AI tools train on my data? +
Some consumer tools may. Check the data terms and prefer business plans for sensitive content.
Do I need an AI data policy? +
A short written policy helps everyone know what data is allowed and where human review is required.
Read the full governance checklist.