Key takeaways: Implementing Microsoft Purview before deploying Microsoft 365 Copilot ensures sensitive data remains protected without hindering productivity. By establishing Data Classification, Sensitivity Labels, Data Loss Prevention (DLP), and Lifecycle Management, organisations prevent AI oversharing and address governance risks at the source.

Over the past 18 months, our conversations about Microsoft 365 Copilot have changed.

Initially, most organisations were focused on the opportunity – how Copilot could improve productivity, automate routine work and help people get more from the information already held in Microsoft 365.

That is still the conversation, but it is now accompanied by more practical questions around security, governance and risk.

• What information can Copilot access?
• How is sensitive content protected?
• Can we prevent certain data from being used in responses?

And, as AI use expands beyond Copilot,

• How do we maintain visibility and control?

These are considerations we have advocated since the rise of AI. Copilot readiness has never been simply a licensing, deployment or adoption exercise; it has also been an information-governance conversation.

Microsoft 365 Copilot does not introduce a new permission model. It works with the information a user can already access. This means that Copilot does not create oversharing or governance problems, but it can make existing issues more visible by making content easier to find, summarise and use.

Recent research from ShareGate found that 93% of IT leaders believe their Microsoft 365 governance is ready for AI. However, the same research found that 29% of organisations had experienced AI tools surfacing information that should not have been easily accessible, including customer data, internal documents and personal information.

The detail behind those figures will vary between organisations, but the principle is clear: AI adoption brings greater attention to the information governance foundations that may have been overlooked for years. That is why we recommend considering Microsoft Purview early in a Copilot project.

We are now seeing more organisations recognise the value of putting Purview and wider governance initiatives in place before scaling Copilot.

Sensitivity labels, data classification, Data Loss Prevention and retention policies should not be treated as separate compliance projects. Together, they provide the controls that allow organisations to adopt Copilot and AI with greater confidence.

The common issues remain familiar:

• Sensitive information held across multiple locations
• Inconsistent or unclear approaches to classification
• Documents with no meaningful protection applied
• Data retained indefinitely without clear purpose
• Broad permissions and oversharing that have built up over time

Several of our recent information-protection assessments and security reviews have identified these same themes. In many cases, the organisation already has the relevant Microsoft capabilities available; what is missing is a clear approach to using them consistently and in a way that reflects the business.

Purview does not replace the need to review permissions, content ownership or sharing practices. It does, however, provide the tools to identify sensitive information, apply protection, reduce inappropriate data movement and govern how information is retained and used.

Microsoft Purview helps organisations establish more control over their information before Copilot use expands. More importantly, it provides controls that continue to support the organisation as AI use evolves.

In our projects, we typically help clients define a practical classification approach before designing the sensitivity labels, protection settings, DLP policies and lifecycle controls that sit behind it.

This enables organisations to:

• Identify and classify sensitive information
• Apply appropriate protection controls
• Reduce accidental oversharing and inappropriate data movement
• Restrict Copilot from processing specific sensitive content where required
• Manage information throughout its lifecycle
• Monitor Copilot and wider AI activity for security and compliance purposes

A successful information protection programme starts with understanding what information exists and how it should be handled.

Purview data classification can help identify sensitive information using built-in or custom sensitive information types, alongside trainable classifiers where appropriate. This gives organisations visibility of the information they need to protect and creates the foundation for labels, DLP and lifecycle policies.

The aim is not to create an overly complicated classification structure. The best models are clear, understandable and aligned to the way the organisation works.

Without this foundation, organisations are often left applying controls inconsistently, or relying on users to make difficult decisions without enough guidance.

Sensitivity labels provide a consistent way to classify and protect information across Microsoft 365.

They can be used to apply visual markings, encryption, sharing restrictions and other protection settings to files, emails, meetings, sites and groups. Where appropriate, labels can also be applied by default or automatically, reducing reliance on users making the right decision every time.

For Copilot, this is particularly important. Labels with encryption ensure that protected content can only be used where the user has the appropriate rights. Labels can also support policies that prevent Copilot from processing content that is particularly sensitive.

In our experience, organisations get better long-term outcomes from a small number of well-understood labels than from an extensive model that is difficult for users to apply.

Data Loss Prevention helps organisations detect, warn, audit or restrict activity that could expose sensitive information.

For Microsoft 365 Copilot, Purview DLP can be used to prevent sensitive content from being processed in Copilot responses. For example, an organisation may decide that content carrying a Highly Confidential label should not be used by Copilot, even where a user would otherwise be able to access it.

DLP also becomes increasingly important in the wider AI conversation. Endpoint DLP can help manage how sensitive information is copied, printed, uploaded or transferred from managed devices. This is particularly relevant where employees are using browser-based or third-party generative AI tools alongside Microsoft 365 Copilot.

The value here is not simply blocking activity. It is giving organisations the ability to apply consistent controls, educate users at the point of risk and retain visibility of what is happening.

Not all information should be kept forever, and AI interactions should not sit outside an organisation’s normal compliance and records-management approach.

Purview Data Lifecycle Management helps organisations apply retention and disposal controls in line with legal, regulatory and business requirements. Purview Audit, eDiscovery and related capabilities provide visibility of Copilot interactions when organisations need to investigate activity, respond to a request or demonstrate compliance.

Data Security Posture Management for AI can also help organisations understand where sensitive or unprotected information is appearing in Copilot and agent interactions, allowing them to focus remediation effort where it will have the greatest impact.

Together, these controls help organisations move from a one-off Copilot readiness exercise to an ongoing governance model for AI.

One of the most common reasons information protection projects struggle is that the solution becomes too complex for users.

We regularly find that simplifying classification structures, using clear language and creating a better user experience delivers stronger outcomes than introducing large numbers of labels and policies.

Purview is most effective when it supports the way people work, rather than becoming another set of controls they feel they need to work around.

Microsoft Purview will not resolve every Copilot readiness issue on its own. Organisations still need to consider access permissions, content ownership, change management and user adoption.

However, Purview provides many of the essential controls needed to protect sensitive information, reduce unnecessary risk and maintain oversight as AI use grows.

For us, the starting point is usually a Copilot readiness assessment: understanding the current position, identifying the most important gaps and agreeing a realistic roadmap that supports both immediate Copilot adoption and longer-term AI governance.

At Intelogy, we help organisations translate Purview’s capabilities into sustainable governance that works in practice, protecting information, enabling collaboration and giving people the confidence to use Copilot and AI responsibly.

Intelogy is one of the UK’s leading Microsoft Partners, holding Microsoft Partner designations for both Modern Work and Security, including the Data Security specialisation, recognising our expertise in information protection, governance and compliance solutions delivered through Microsoft Purview.

If you would like to start a project with us, please don’t hesitate to get in touch.