Securing data before you turn on Copilot

Navigating the world of AI tools like Microsoft Copilot can feel like preparing for an adventure. You're eager for the benefits, but it's vital to pack the right equipment and understand the risks before you set off. For small and medium businesses (SMBs) in the UK, one of the most significant considerations before adopting Copilot is data security. It's not just a technical detail; it's a fundamental business imperative.

Many SMBs are attracted to Copilot's potential to boost productivity and innovation. However, this power comes with responsibility. Copilot works by accessing and processing your company's data – emails, documents, spreadsheets, chats – to provide its insights and assistance. If your data isn't properly secured and governed *before* Copilot is switched on, you could inadvertently expose sensitive information, fall foul of regulations, or compromise your business. Let's look at what you need to address.

Understand Your Data Landscape

Before you even think about permissions or settings, you need a clear picture of the data you currently hold. This might sound obvious, but for many businesses, data has accumulated over years, often in a somewhat organic fashion.

• **Identify sensitive data:** What information do you have that is confidential, commercially sensitive, or protected by regulations like GDPR? This could include customer details, financial records, employee information, intellectual property, or strategic plans.
• **Where is it stored?** Is it all in Microsoft 365 (SharePoint, OneDrive, Teams)? Do you have older file shares, local drives, or other cloud services? Copilot primarily works within your Microsoft 365 environment, but understanding *all* your data locations helps you manage the full picture.
• **Who has access to what?** This is perhaps the most critical step. Often, employees have access to more information than they strictly need for their role. This widespread access, sometimes called "access sprawl," is a significant risk with Copilot. If an employee can read a document, Copilot can potentially surface information from it to them.

Conducting a data audit, even if it's a simpler version tailored for an SMB, is an essential first step. You cannot secure what you do not understand.

Review and Refine Your Access Permissions

This is where the rubber meets the road for Copilot readiness. Copilot's fundamental security principle is "it inherits your existing security permissions." This means if a user has access to a file, Copilot can draw information from that file to respond to their queries. It doesn't introduce *new* access but relies entirely on what's already in place.

Therefore, before Copilot is active:

• **Implement the principle of least privilege (PoLP):** Users should only have access to the data they absolutely need to perform their job functions, and no more. This means reviewing shared folders, SharePoint sites, and even individual document permissions.
• **Clean up old access:** Remove permissions for ex-employees, temporary staff whose contracts have ended, or roles that no longer require certain access.
• **Use Microsoft 365 Groups and SharePoint Sites effectively:** Assign permissions to groups rather than individual users where possible. This makes management easier and more consistent. Set up SharePoint sites with appropriate access levels from the outset.
• **Educate your team on sharing practices:** A significant amount of data sprawl comes from users inadvertently over-sharing documents or links. Ensure everyone understands the implications of sharing "anyone with the link can edit" versus restricting access.

This process can be time-consuming, but neglecting it is akin to leaving your front door unlocked before installing a new, clever security system downstairs.

Data Loss Prevention (DLP) Policies

Once you've tightened up permissions, the next layer of protection comes from Data Loss Prevention (DLP) policies. These are built into Microsoft 365 and can help prevent sensitive information from being shared inappropriately, whether accidentally or maliciously.

• **Define sensitive information types:** Microsoft 365 has pre-built definitions for common sensitive data, such as UK National Insurance numbers, credit card details, or bank account numbers. You can also create custom sensitive information types relevant to your business (e.g., specific project codes, unique customer IDs).
• **Create DLP policies:** Set up rules to detect when this sensitive information is being used in emails, Teams messages, or documents. Policies can be configured to:
• Warn users attempting to share sensitive data.
• Block the sharing of sensitive data externally.
• Encrypt documents containing sensitive data automatically.
• Notify administrators of policy violations.
• **Start with audit mode:** When first implementing DLP, it's often wise to start in "audit mode." This allows you to monitor policy matches without enforcing blocks, helping you fine-tune your rules and minimise false positives.

DLP provides an automated safety net, adding another layer of defence against accidental data exposure, which is particularly relevant when empowering users with Copilot's capabilities.

Information Protection and Labelling

Beyond DLP, Microsoft Information Protection (MIP) allows you to classify and label your data, providing persistent protection that travels with the data itself.

• **Define sensitivity labels:** Create labels such as "Public," "General," "Confidential," or "Highly Confidential." You can then configure these labels to apply specific actions:
• **Encryption:** Automatically encrypt documents labelled "Highly Confidential."
• **Watermarks:** Add visual watermarks to documents.
• **Access restrictions:** Limit who can open or copy content from a labelled document.
• **Educate users on labelling:** For labels that users apply manually, training is crucial. They need to understand what each label means and when to apply it.
• **Automate labelling where possible:** Use automatic labelling policies in Microsoft 365 to apply labels based on content, such as if a document contains a certain number of sensitive information types.

Labelling helps users understand the sensitivity of the data they are working with and ensures that even if a document leaves your direct control (e.g., if it's sent to a partner), its protection measures travel with it.

Your Journey to Copilot Readiness

Bringing Copilot into your business is not just about turning on a feature. It's about maturing your overall approach to data governance and security. These steps – understanding your data, refining permissions, implementing DLP, and using information protection – are foundational. They not only prepare you for Copilot but also significantly improve your business's overall security posture, reducing risk regardless of future AI deployments.

This isn't a one-time project; it's an ongoing commitment. Regular reviews of access, DLP policies, and information labelling are essential as your business evolves and your data grows. Approaching this systematically ensures that when you finally switch on Copilot, you do so confidently, knowing your valuable business data is protected.