With AI tools like Microsoft Copilot becoming essential in the modern workplace, privacy has quickly risen to the top of users' concerns. For IT admins, team leaders, or everyday users, understanding how to verify Copilot’s privacy settings and track session data is key to maintaining control, trust, and compliance.
As organizations integrate AI into daily workflows, the question isn't just what Copilot can do but what it does with your data. Despite Microsoft's emphasis on enterprise-grade security, the mechanics of session data handling, especially in tools powered by large language models (LLMs), can feel opaque. That lack of clarity creates friction in adoption and risks in governance.
This article provides a practical guide to verifying Copilot’s privacy settings, understanding how session data works, and interpreting Microsoft’s official statements on data handling.
Microsoft 365 Copilot operates within the same security and compliance boundaries as Microsoft 365, adhering to standards like the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA) coverage, and Various International Organisation for Standardisation (ISO) certifications, amongst others. Its design emphasises key principles, including:
Data Minimisation: Copilot accesses only the data necessary for tasks, such as the document you’re working on or emails you have permission to view, reducing the possibility of unnecessary data exposure.
Encryption: All data, including prompts and responses, is encrypted in transit and at rest, ensuring protection against unauthorised access.
Role-Based Access Control (RBAC): Copilot respects your organisation’s permission model, only surfacing data you’re authorised to see.
Now that you have a clearer view of the foundational safeguards behind Copilot, let’s walk through how to verify its privacy settings and ensure they align with your organisation’s security expectations.
Before you can fully trust any AI assistant with sensitive tasks, it's essential to understand and manage its privacy settings. Microsoft Copilot's personalisation feature gives users control over how their data is used.
The following section walks you through how to verify and adjust these settings across different platforms, ensuring your data preferences are respected and your AI experience aligns with your privacy expectations.
Copilot’s personalisation feature tailors responses based on your past interactions. Depending on how much context you want Copilot to retain, you can toggle this setting on or off.
On copilot.com:
In Copilot for Windows or macOS:
In the Copilot mobile app:
Note: When you disable personalisation, Copilot will stop remembering details from your conversations. While you can still access your past chats, future interactions won’t be tailored until you re-enable personalisation.
Microsoft Copilot allows you to manage your general privacy settings and the specific information it keeps from past interactions. Whether you want to delete a single conversation or reset everything it knows about you, Copilot gives you complete control.
If you’d like to remove individual conversations from Copilot’s memory:
You can ask Copilot directly about what it knows and conversationally control that memory:
If you prefer to wipe everything and start fresh:
By default, Microsoft may use your interactions with Copilot, both text and voice, to improve its AI models. However, you have the option to opt out and ensure your conversations are not used for training purposes.
The following explains how to manage these settings across different platforms.
On copilot.com:
In Copilot for Windows or macOS:
In the Copilot mobile app:
Note: Once disabled, your past, current, and future conversations will be excluded from training Microsoft’s AI models. Changes may take up to 30 days to take full effect.
Session data in Microsoft Copilot includes your prompts (what you ask), Copilot’s responses (what Copilot generates), and any files or content accessed during a session. This data is used to complete your requests, such as drafting documents, creating presentations, or summarizing meetings, while maintaining strict privacy controls.
Copilot only accesses the data it needs, respecting existing Microsoft 365 permissions so content doesn’t leak across users or applications. You can further control what Copilot accesses, including documents, emails, or third-party plug-ins.
Uploaded files to Copilot Chat are stored in your OneDrive for up to 30 days and are visible only to you. All session data is encrypted in transit and at rest to prevent unauthorized access and safeguard sensitive information.
To monitor session activity or data use, check the Microsoft Privacy Dashboard or ask your administrator to review Microsoft Purview audit logs.
As previously mentioned, Microsoft 365 Copilot is designed with privacy, security, and compliance at its core. The data used by Copilot is task-specific, blending your prompt, related Microsoft 365 content, and AI-generated responses to deliver accurate output.
Model training does not use your data unless explicitly permitted. However, unless you opt out, Microsoft may use de-identified data from Bing, ads, or Copilot interactions to improve its products.
Crucially, Copilot operates within Microsoft’s secure service boundaries using Azure OpenAI, not public OpenAI systems. Microsoft complies with global data regulations, including GDPR and the EU Data Boundary, ensuring data residency where required.
EU user data stays within the EU by default, though some requests may be routed globally under high demand. Users can manage or delete activity history via My Account portal, while IT admins can configure retention policies through Microsoft Purview.
While Microsoft 365 Copilot is built with enterprise-grade privacy and compliance in mind, proactive steps to protect sensitive information are still essential, especially in today’s threat landscape.
To get the most out of Copilot while remaining privacy-conscious:
By combining Copilot’s intelligent support with these best practices, business users and IT teams can strike the right balance, unlocking productivity without compromising data security or trust.
Is Microsoft Copilot safe?
Does Copilot share my data with third parties?
Can Copilot access all my Microsoft 365 data?
How do I ensure Copilot doesn’t misuse my sensitive information?
Is Copilot a huge security vulnerability?
Microsoft Copilot, OpenAI’s ChatGPT, and Google’s Gemini are leading AI assistants, each excelling in different environments. Copilot integrates deeply with Microsoft 365 to automate documents, data analysis, and email, while ChatGPT shines in open-ended conversation, creative writing, and flexible plugin-driven workflows. Gemini prioritises speed and factual accuracy within Google Workspace, offering powerful research and summarisation capabilities. Choosing the right tool depends on your ecosystem, need for customisation, and whether productivity, creativity, or precision is the top priority.
Microsoft Copilot for Excel, a generative-AI assistant built into Microsoft 365, turns natural-language prompts into instant formulas, pivots, charts, and summaries - eliminating much of Excel’s manual grunt work. After enabling Copilot in a cloud-saved workbook, users simply describe tasks like highlighting duplicates, cleaning data, generating complex formulas, or visualising trends, and Copilot does the heavy lifting while explaining its logic. The article also offers step-by-step setup guidance and a list of ready-made prompts to help users go from “zero to hero” in productivity.
Microsoft 365 Copilot can super-charge Word, Excel, Outlook, PowerPoint, and Teams, but IT managers must align licensing, data governance, and clear business goals before launch. In this article, we discuss how engaging stakeholders early, piloting with a small cross-functional group, and phasing the rollout lets teams refine guidance and measure real productivity gains. Role-specific, hands-on training - prompt-engineering tips, quick-start resources, and “Copilot champions” - converts into confident daily use while resolving emerging user challenges.