Picture this.

Your team is working away on a Microsoft Teams call. One employee, having just used ChatGPT for a personal query about the recipe for a mud cake, needs help analysing a spreadsheet. In a moment of distraction, they upload a financial Excel workbook containing highly confidential company information into ChatGPT rather than Microsoft Copilot.

At first glance, this might sound like a simple mistake. However, if that spreadsheet contained customer names, financial records, payroll information, or commercially sensitive data, many businesses, clients, and regulators would view the incident as a data breach.

This is the challenge organisations now face as AI becomes part of everyday work. The risk is not necessarily that AI platforms are unsafe. The risk is that staff can unintentionally move information outside approved business systems without understanding the implications. Whether through personal devices, unauthorised AI tools, connected mailboxes, or simple human error, sensitive information can leave organisational controls far more easily than ever before.

This is where Microsoft's Copilot Control System (CCS) comes into the picture.

What Is Copilot Control System?

Despite its name, Copilot Control System is not a new product and there is nothing additional to purchase. Instead, it is Microsoft's governance framework for managing how AI interacts with organisational data across the Microsoft 365 ecosystem.

The framework brings together the controls that allow organisations to:

  • Apply AI-related security and compliance policies.
  • Categorise information according to sensitivity.
  • Control which AI tools can access specific data.
  • Manage the deployment of AI services.
  • Monitor how information moves through systems and platforms.
  • Report on AI usage and data interactions.

The simplest way I describe Copilot Control System to clients is this:

We place a security guard at the AI prompt and give them a rulebook. Every request is checked against those rules before information is allowed through.

When implemented correctly, your team can continue using AI to improve productivity while maintaining confidence that sensitive information is being assessed before it is shared, processed, or exposed to systems that should not have access to it.

Why This Matters

Many organisations assume the biggest AI risk comes from cybercriminals, malicious insiders, or sophisticated attackers.

In reality, the greater risk often comes from your most trusted employees.

The busiest people in your organisation are usually trying to work more efficiently. They are looking for ways to automate tasks, summarise information faster, draft documents, analyse spreadsheets, or reduce administrative workload. AI tools help them achieve exactly that.

Unfortunately, these same efficiencies create opportunities for accidental data exposure.

A staff member might paste customer information into a public AI chatbot. Someone might upload a contract to an AI service to generate a summary. Another employee might connect a company mailbox to an external AI platform because it promises additional functionality.

In many cases, there is no malicious intent. The individual simply does not understand the risks associated with moving organisational data beyond approved environments.

Once data leaves governed systems and enters an unapproved AI platform, the organisation may lose visibility and control over how that information is processed, stored, retained, or shared.

This is not a hypothetical concern.

Across our Secure365 client base, we have already identified instances of sensitive information, including identity documents, bank account details, and other confidential business records, being submitted through AI prompt tools by well-intentioned employees who simply did not realise the consequences.

What You Can Do About It

The good news is that improving AI governance does not require a six-month transformation project.

Copilot Control System contains hundreds of policies and controls, but most organisations can make meaningful improvements by focusing on a handful of foundational areas first.

Review Your SharePoint Permissions

A simple but important rule applies to Microsoft Copilot:

Copilot can only access information that users already have permission to access.

If users have broad access to client contracts, invoices, internal documentation, policies, procedures, marketing materials, or financial records, Copilot inherits that visibility.

This means that when a user runs a prompt, AI may draw information from a far wider set of documents than many organisations realise.

Before deploying AI broadly, review your SharePoint structure, permissions, security groups, and access controls. AI will amplify whatever permission model currently exists, whether it is well-managed or not.

Establish an AI Governance Position

Every organisation should clearly define its position on AI usage.

This does not need to be complicated, but it should answer a few critical questions:

  • Which AI tools are approved for business use?
  • What information must never be entered into an AI platform?
  • Who can approve new AI services?
  • What controls apply to personal devices and bring-your-own-device (BYOD) scenarios?
  • What are the consequences for non-compliance?

If these expectations only exist as verbal conversations, enforcement becomes difficult when somebody uploads a client document, connects a corporate mailbox, or begins using an external AI platform because it appears more convenient.

Your employee contracts, acceptable-use policies, compliance manuals, onboarding documentation, terms of engagement, and internal procedures should clearly communicate these expectations to both staff and clients.

Understand Your Microsoft Licensing

Many of the controls associated with Copilot governance, data loss prevention (DLP), sensitivity labels, information protection, and compliance monitoring depend on Microsoft licensing.

Organisations are often surprised to discover that capabilities vary significantly between licence tiers.

Understanding what licences you own, what controls are available, and which protections remain unavailable is a critical part of building an effective AI governance strategy.

An experienced Microsoft partner can help identify the gaps and determine whether additional licensing is necessary to achieve your organisation's security objectives.

You may have noticed a shift in the focus of our recent articles and client engagements, which is an intentional shift.

As AI rapidly becomes embedded in everyday business processes, a growing proportion of our cybersecurity service is focused on helping organisations understand and manage this new landscape, including things such as:

  • AI-related Data Loss Prevention (DLP)
  • Data access reviews and permission audits
  • External AI platform governance
  • Microsoft Copilot readiness
  • Staff awareness and training

Please reach out for a 15 minute free chat if you have concerns.