Last month, I pasted a block of rough code into a popular AI assistant to help me debug a server error. The code contained a hardcoded API key for a client project. I realized my mistake three seconds after hitting enter. Panic set in immediately. I deleted the chat, but a lingering question kept me awake that night: who actually owns that text now? That single mistake opened my eyes to the massive AI privacy concerns we face today.
Is some human reviewer reading my logs? Will my client’s API key end up in the training data for the next massive language model, ready to be spit out to a random user half a world away? That moment of sheer panic forced me down a massive rabbit hole. I spent the next three weeks reading the fine print, terms of service, and hidden telemetry logs of the tools we use every single day.
If you are relying on AI for work, writing, or coding, you need to know exactly where your data goes. Here is the reality of AI tracking in 2026.
The Core Problem: AI Privacy Concerns Explained
Before we look at the specific tools, we have to separate marketing from reality. When people talk about AI privacy concerns, they are usually confusing two completely different concepts: data retention and model training.
Data Retention vs. Model Training
Data Retention is how long a company stores your chat logs on their servers. When you open an app and see your past conversations, that is data retention. Companies keep this data to provide you with a history and to monitor for abuse or illegal activity.
Model Training is the real issue. This happens when an AI company takes your chats, strips away (or attempts to strip away) identifying information, and uses your text to teach the next version of their AI how to talk, code, or reason. This is where proprietary company data, personal stories, and sensitive code leak into the public domain.
Does ChatGPT save your data?
The short answer is yes. By default, most free tiers of consumer AI tools log your inputs and reserve the right to train their models on your conversations. If you are not paying for an enterprise tier, you are the training data.
How to use AI safely
You do not have to stop using AI to stay secure. Learning how to use AI safely comes down to two actions: turning off training permissions in the settings (opting out) and sanitizing your inputs before you hit send. Below, I break down exactly how to lock down the ten most popular tools on the market.
Testing 10 Popular AI Tools: Privacy Settings & Opt-Out Steps
I audited the privacy policies and account settings for 10 of the most widely used AI applications. Here is exactly what they track and the exact steps you need to take to stop them.
1. ChatGPT (OpenAI)
OpenAI has improved its privacy controls significantly, but you still have to manually flip the switch if you are on a free or Plus account. Team and Enterprise accounts exclude training by default. You can read the exact legal details directly in OpenAI’s official privacy policy.
- Click on your profile icon in the bottom left corner.
- Select Settings.
- Navigate to Data Controls.
- Toggle off Chat History & Training.
Note: If you want to keep your chat history but still opt out of training, you have to submit a privacy request form through their help center.
2. Claude (Anthropic)
Anthropic markets Claude as the “safe” AI. Their current policy states they do not use customer prompts or outputs to train their models unless you explicitly give them permission via a feedback mechanism (like giving a thumbs up/down and leaving a comment).
However, they do retain your data for 30 days to monitor for abuse. You don’t need to manually opt out of training, but you should still avoid pasting highly sensitive PII (Personally Identifiable Information).
3. Google Gemini
Google’s integration means Gemini is tied deeply into your Google Workspace. By default, Google explicitly states that human reviewers may read your Gemini conversations to improve the product, and that these reviewed chats are kept for up to three years—even if you delete the chat.
- Go to myactivity.google.com/product/gemini.
- Click Turn Off on the Gemini Apps Activity panel.
- Choose Turn off and delete activity.
4. Microsoft Copilot
Copilot has two distinct modes. If you are signed in with a corporate Entra ID (formerly Azure AD), Copilot uses “Commercial Data Protection.” Your data is not saved, humans cannot see it, and it is not used for training. If you are using it with a personal Microsoft account, your data is logged and used for model training by default.
To opt out on a personal account, you must manage your Microsoft account privacy dashboard and clear your interaction history.
5. Midjourney
Midjourney operates primarily through Discord or its alpha web platform. Everything you generate in public Discord channels is visible to everyone and forms part of the public domain. Midjourney does not offer a strict “do not train” button for standard users.
If you want privacy, you have to pay for the Pro or Mega plan and activate “Stealth Mode” by typing the command:
/stealth
Even then, this just hides the images from the public gallery; the images still live on their servers.
6. Perplexity AI
Perplexity acts as a search engine, but it still trains on your queries to improve its routing models. To stop this:
- Go to Settings (the gear icon).
- Select Account.
- Toggle off AI Data Usage.
7. GitHub Copilot
As a developer tool, GitHub Copilot scans your active files to provide suggestions. GitHub collects “User Engagement Data” (telemetry) and “Code Snippet Data.” Individual users have to opt out in their GitHub settings.
- Go to GitHub Settings.
- Click Copilot in the left sidebar.
- Uncheck the box that says Allow GitHub to use my code snippets for product improvements.
8. Notion AI
Notion states that they do not use your private workspace data to train their models. However, they use third-party LLM providers (like Anthropic and OpenAI) to process the AI requests. Notion has Data Processing Agreements (DPAs) in place ensuring those partners don’t train on your data either. Your data remains relatively safe here by default.
9. GrammarlyGO
Grammarly has a long history of logging keystrokes to improve its spelling algorithms. For its generative AI features, Grammarly explicitly states it does not sell data and does not train its core models on enterprise customer data, but free users should check their account settings under Privacy to limit data sharing.
10. HuggingChat (Hugging Face)
Open-source alternatives often respect privacy better. HuggingChat allows you to toggle a simple switch at the bottom of the settings menu that says “Share conversations with model authors.” Turn this off, and your session remains local to your browser and their immediate server memory.
Comparison Table: Default Training Status
If you are managing a team with AI privacy concerns or just trying to decide which tool is safest for your personal data, here is a quick breakdown of the big three:
| AI Tool | Trains on Free Tier Data? | Requires Manual Opt-Out? | Human Reviewers Possible? |
|---|---|---|---|
| ChatGPT | Yes | Yes | Yes (if opted in) |
| Claude | No | No | Only if flagged |
| Google Gemini | Yes | Yes | Yes |
| Microsoft Copilot (Personal) | Yes | Yes | Yes |
My Own Testing: Watching the Network Traffic
Reading policies is one thing, but I wanted to see what these tools were actually sending back to their servers. I booted up my laptop, opened the Chrome Developer Tools, and started monitoring the network requests while interacting with the three biggest web-based AI platforms.
The Telemetry Reality
When you type a prompt into a browser-based AI, you are not just sending the text. I tracked the network payloads and found that along with your prompt, these tools are often sending:
- Your exact browser fingerprint and user-agent string.
- Time spent hovering over specific UI elements (like the “copy” button).
- Hardware acceleration status and rough location data via IP.
For example, when using Gemini without opting out, the network payload included multiple tracking cookies tying my prompt directly to my active Google session. Even when I tried to use a VPN, the session tokens persisted because I was logged into the browser.
The biggest takeaway from my own testing? Incognito mode does nothing to protect your AI privacy if you have to log into an account to use the service. The moment you authenticate, your hardware and software data are linked directly to your prompts.
3 AI Privacy Mistakes I Made (So You Don’t Have To)
It took me a while to get my own operational security right. Here are three things I did wrong when I first started using these tools heavily:
- Assuming Incognito Mode was enough: I thought opening a private tab would stop telemetry. It doesn’t. If you log in, they know who you are.
- Using enterprise data on a personal free tier: I used a personal ChatGPT account to format a work spreadsheet. I didn’t realize until later that my personal account lacked the data protection agreements my company’s enterprise license provided.
- Forgetting to delete old chats: I left months of financial planning queries sitting in my history. Even if you opt out of training today, leaving old chats vulnerable means they could be accessed if your account is ever compromised.
The Golden Rule of AI Privacy
Even with every privacy toggle flipped and every setting locked down, the golden rule of cybersecurity still applies: never paste anything into an AI prompt that you wouldn’t paste on a public billboard.
Bugs happen. Data breaches occur. These massive AI privacy concerns prove that the only guaranteed way to protect your proprietary code, your client data, and your personal information is to sanitize it before it ever leaves your keyboard.
Frequently Asked Questions
Can AI companies read my private chats?
Yes. Almost all major AI providers reserve the right to have human reviewers read your chats if their automated systems flag your account for violating safety guidelines.
Does deleting a chat remove it from training data?
Usually, no. If a model has already been trained on your conversation, you cannot “un-train” the model. Deleting the chat only removes it from your view and stops it from being used in future training runs. This is why you must opt out before you send sensitive data.
Are local AI models safer?
Yes. Running a local model like Llama 3 on your own hardware is the only way to guarantee 100% privacy, as the data never leaves your machine.
Next Steps for Total Privacy
Despite valid AI privacy concerns, these tools are too powerful to ignore, but you can’t afford to be careless with your data. Take ten minutes today to go through the settings of every tool you use and turn off model training. It is the easiest security win you will have all week. For more guides on securing your daily tech, check out the Global Tech Tales homepage.
If you want to take your privacy a step further and stop relying on cloud providers entirely, you can host your own data and tools locally. Check out my upcoming guide on How to Build Your First Home Server for Under $300 in 2026 to learn how.