AI and Privacy in Organizations: The Practical Guide to Safe GenAI Use

AI and Privacy in Organizations

Almost every company I work with has the same situation: intensive AI tool usage, lots of confusion, and zero real clarity about privacy and regulation.

1. Once You Hit Enter – The Data is No Longer "Yours"

Every prompt, every file you enter gets sent to the AI company's servers. Two critical factors:

• Where servers are located physically – this determines which laws protect your data
• Which privacy policy applies – varies by provider and account type

2. What Should Never Go Into AI Tools?

• 🔐 Passwords, tokens, API keys
• 🧠 Sensitive source code, system architecture
• 👤 Personal data of customers/employees
• 📄 Highly sensitive documents

Practical tip: Use placeholders like [CUSTOMER_NAME] instead of real data.

3. Personal vs Enterprise Accounts

Personal accounts typically have fewer protections. Enterprise accounts usually offer:

• Better data separation
• Control over training data settings
• Control over where data is stored

Rule of thumb: Working with internal company material? Use only the approved corporate account.

4. 30-Second Checklist Before Using AI

1. What type of data am I entering?
2. Am I using the correct corporate account?
3. Have we set data not to be used for training?
4. Where is the data stored geographically?
5. What is the retention and deletion policy?
6. Who can access this data?
7. Is everything encrypted?
8. Which third-party sub-processors touch this data?