5 Ways to Use AI Safely When Working with Sensitive Data

AI tools have transformed office work. But for professionals with access to sensitive data — legal, medical, financial, HR — legitimate questions about privacy arise. Here are five concrete measures to help you use AI safely.

1. Anonymize data before pasting

The most important step: replace all personal data with placeholders before pasting text into any AI tool. Names, addresses, ID numbers, account details — none of this should appear in plain text in an external service. Tools like MaskBase automate this step locally on your device.

2. Disable model training in account settings

Most major AI providers allow you to turn off model training with your data in the account settings. In ChatGPT, look for "Data Controls" → "Improve the model for everyone." Enable this for all work accounts.

3. Use enterprise plans for sensitive environments

ChatGPT Enterprise, Claude for Work, and Google Workspace AI offer stronger privacy guarantees than free or standard accounts — including contractual commitments that data won't be used for training. For professional use with sensitive data, the investment is justified.

4. Sign a Data Processing Agreement

Under GDPR Article 28, transferring personal data to any external processor requires a Data Processing Agreement. OpenAI, Anthropic, and Google all offer DPAs. Verify that one is in place for your organization before using AI tools with client data.

5. Create clear internal AI policies

A written AI usage policy for your team protects both the business and individual employees. Define which categories of data may be entered into which tools, and train your team regularly — especially as new AI capabilities emerge.

Conclusion

Data privacy and AI productivity are not in conflict. With the right processes and tools, you can get the best of both worlds — and reliably protect the data of your clients, patients, and employees in the process.