Insights

Concerns about data usage are one of the first things organisations ask when exploring Microsoft 365 Copilot.

Is my data used to train Microsoft 365 Copilot? It’s a sensible question to ask. You’re giving an AI assistant access to emails, files, meetings and chats, so it’s natural to want clarity on what happens to that information.

In this article, we’ll discuss how Copilot works with your data and what this means for risk and governance.

If you’re new to Copilot and AI, you can read our Beginner’s Guide to Microsoft 365 Copilot first.

TL;DR: Is my data used to train Copilot?

No. Your organisation’s data is not used to train Copilot or its underlying AI models. When you use Microsoft 365 Copilot, your data is accessed in real time, securely, and only to respond to your request.

It isn’t stored, retained, or fed back into model training.

Enterprise Data Protection

To understand how Microsoft 365 Copilot protects your data, you should refer to the official Microsoft 365 Copilot Enterprise Data Protection commitment.

We’ve provided our own explanation below of the way Copilot works and the implications for risk and governance.

How Copilot works behind the scenes

When you ask Copilot a question inside Microsoft 365 (whether that’s in the Copilot app, Outlook, Teams, Word or elsewhere) it doesn’t go off and “learn” from your data.

Instead, it follows a structured, controlled process.

Step 1: You ask a question

For example, you might ask Copilot to summarise recent emails and Teams chats with a colleague and highlight any outstanding actions.

Step 2: Copilot gathers relevant context

To answer you accurately, Copilot needs context. It gathers this using Microsoft Graph, which is the same system Microsoft 365 already uses to power search, recent files, shared documents and activity insights.

This step is called grounding.

Crucially:

• Copilot can only access data you already have permission to see
• It cannot see other users’ content or anything you wouldn’t normally be able to open yourself

This permission model hasn’t changed with Copilot and it’s the same security boundary Microsoft 365 has always enforced.

What role the AI model plays

Once Copilot has gathered the relevant information, it sends the following to an AI model:

• Your prompt
• Your chat history (if you’re asking a follow-up question or clarification)
• The supporting context (for example, relevant emails or chats)
• A system prompt (which tells the language model how to behave and what constraints to follow)

The model’s job is not to search for data or discover new information. Copilot has already done that. The model simply:

• Reasons over the information it’s given
• Summarises it
• Rephrases it
• Highlights what’s important

This is what large language models are designed to do.

So, is your data used to train Copilot?

No. This is the key point that often gets misunderstood:

• The AI model does not retain your data
• Your prompts and content are not stored by the model
• Your organisation’s data is not used to train or improve the model

GPT stands for “Generative Pre-trained Transformer”. The model itself is already trained. It doesn’t learn from individual customer interactions.

Once a response is generated and returned to you, that interaction is complete.

What Copilot can access, and what it can’t

Copilot can:

• Access your Microsoft 365 data in real time
• Respect your existing permissions
• Work within your organisation’s security controls

Copilot can’t:

• Train AI models using your data
• Access content you don’t already have permission to see

This distinction is important, especially for regulated industries and organisations with strict data governance requirements.

Why this still causes confusion

Part of the confusion comes from how consumer AI tools work, where prompts may be logged or reused to improve models.

Microsoft 365 Copilot operates differently because it’s designed for enterprise use, with security, privacy and compliance built in from the start.

If you’re early in your Copilot journey, it’s worth being clear on how Copilot works before rolling it out more widely.

What this means for risk and governance

While Copilot doesn’t train on your data, that doesn’t mean there are no risks to consider. In practice, Copilot tends to expose existing issues, rather than create new ones.

It will often expose things like:

• Lack of information ownership and governance across SharePoint
• Over permissive SharePoint sites
• Oversharing of sensitive files

Copilot can surface information quickly. If information is already overshared or incorrect and out of date, Copilot will make that more visible.

So there are risks to using Copilot, but it’s not the technology itself that’s introducing that risk. It’s just amplifying them.

Learn more with our article about the risks of using Microsoft 365 Copilot from a technical readiness perspective.

Final takeaway

Copilot works with your data securely, in real time, and only within the permissions you already have. It doesn’t use your data to train AI models.

For most organisations, the main concern should be whether their data, permissions and governance are ready for Copilot in the first place.

If you get that foundation right, Copilot can become a powerful productivity tool.