Over 60% of employees are using AI tools outside their organisation's controlled environment every day. Discover what Shadow AI is, why it creates serious GDPR and data breach risks, and how Wavex helps you implement a layered governance framework using Microsoft Purview, Defender for Cloud Apps, and Cisco Umbrella.

AI tools such as Microsoft Copilot, ChatGPT, Claude, Grok, and Gemini are now embedded in day-to-day working life. They help staff write emails, summarise documents, analyse data, and accelerate almost every knowledge task. But alongside the productivity gains, a significant and largely unaddressed risk is emerging: employees are routinely pasting sensitive business information into AI tools that operate entirely outside your organisation's control.
Wavex research into AI usage patterns across client organisations found that over 60% of staff are actively using AI tools outside their organisation's tenant on a daily basis. This is not a future risk to plan for. It is already happening, and in most organisations it is happening without any visibility or governance framework in place.
Shadow AI refers to the use of AI tools by employees without the knowledge, approval, or oversight of their IT or security teams. It mirrors the concept of Shadow IT - the use of unauthorised applications and services - but with a critical difference: AI tools are specifically designed to process, interpret, and generate content from the data you feed them.
The risk is not malicious intent. In the vast majority of cases, employees using public AI tools are simply trying to do their jobs more efficiently. Common examples include improving the wording of a client email, summarising a lengthy document, or asking an AI to analyse a spreadsheet. Each of these actions feels routine and harmless. But when the data involved includes client information, financial records, personal data, or confidential internal documents, the consequences can be severe.
For AI platforms operating outside your organisation's tenant - such as public versions of ChatGPT, Claude, or Gemini - you are not operating in a controlled, private environment. Data entered into these platforms may be processed, stored, and in some cases used for model training. Once that data leaves your environment, you have lost control of it. Depending on what was shared, you may have already breached client confidentiality, violated contractual obligations, or triggered a reportable data breach under GDPR, requiring notification to the ICO within 72 hours.
| Risk Factor | Detail | Potential Consequence |
|---|---|---|
| Public AI tool usage | Over 60% of staff using non-enterprise AI daily (Wavex research) | Uncontrolled data leaving the organisation's environment |
| GDPR data breach exposure | Personal or sensitive data entered into public AI platforms | ICO notification required within 72 hours, potential fines |
| Client confidentiality | Client data summarised or analysed using public AI tools | Breach of contract, reputational damage, loss of client trust |
| Shadow AI invisibility | No IT visibility of which tools are being used or what data is shared | No ability to detect, respond to, or evidence a breach |
| Model training risk | Some public AI platforms use inputs to improve their models | Sensitive data potentially surfaced in responses to other users |
Most organisations already have the foundations needed to reduce this risk significantly. The challenge is not a lack of technology - it is a lack of configuration, policy, and visibility. Wavex recommends a layered approach that combines detection, control, and user enablement, so that AI can be used safely rather than blocked outright.
Microsoft Purview is a data governance and compliance platform that operates across your Microsoft 365 environment. It detects sensitive information - including personal data, financial records, and confidential documents - and can warn or block users before that information is shared inappropriately. Every data interaction is logged, creating a full audit trail that supports GDPR compliance and provides evidence in the event of an investigation.
For organisations already using Microsoft 365, Purview is often already available as part of their licensing. The challenge is activation and configuration, which requires an understanding of your data classification requirements and the policies needed to enforce them. Wavex configures Purview as part of our cybersecurity and compliance service, ensuring that sensitive data is identified, labelled, and protected before it can be inadvertently shared.
Microsoft Defender for Cloud Apps provides visibility and control over the cloud applications and AI tools being accessed across your organisation. It identifies which AI tools staff are using, highlights risky behaviours such as large data uploads to external platforms, and enables you to control or restrict access to unsanctioned services.
Defender for Cloud Apps gives your IT team immediate visibility of Shadow AI activity across the organisation - often revealing usage patterns that were entirely unknown before deployment. This visibility is the first step in any effective AI governance framework. Without it, you cannot manage what you cannot see.
A DNS-layer protection approach using Cisco Umbrella, combined with a tiered AI usage policy linked to user identity, allows organisations to enable AI safely rather than applying a blanket block that drives usage further underground. Wavex recommends the following three-tier model as a starting framework, which can be adapted to your organisation's specific risk appetite and operational requirements.
| User Tier | AI Access Level | Controls Applied |
|---|---|---|
| General Users | Approved enterprise AI tools only (e.g. Microsoft Copilot) | Block or limit access to unsanctioned public AI platforms; prevent data upload to high-risk services |
| Power Users / Developers | Broader access to selected AI tools (e.g. ChatGPT, Claude) | Controlled usage with monitoring and policy enforcement; suitable for productivity and development use cases |
| AI Researchers / Innovation Teams | Wide range of AI models and platforms | Fewer restrictions but with full logging and oversight; enables evaluation of new tools for business adoption |
These policies are enforced at the network and identity level using Cisco Umbrella, ensuring consistent control regardless of whether staff are working in the office, at home, or on the road. The result is a clear separation between safe, sanctioned AI usage and higher-risk experimentation - with appropriate oversight applied at every level.
Effective AI governance is not a single product or policy. It is a framework that combines technical controls, clear usage policies, and user education. The organisations that manage AI risk most effectively are those that treat it as an ongoing programme rather than a one-time configuration exercise.
Wavex works with organisations to build AI governance frameworks that are proportionate to their risk profile and practical to operate. This includes an initial assessment of current AI usage patterns, identification of the highest-risk behaviours and data types, configuration of the technical controls described above, development of an AI acceptable use policy, and a user awareness programme that helps staff understand why these controls exist and how to use AI safely.
For organisations with an existing IT strategy and consulting engagement, AI governance can be incorporated into the broader technology roadmap. For those starting from scratch, Wavex offers a standalone AI governance assessment that provides a clear picture of current risk and a prioritised remediation plan.
AI is already being used across your organisation by over half of your staff. The risk is not the technology itself - it is the absence of visibility and control around how it is being used. The longer that gap remains, the greater the likelihood of a serious incident. Speak to a Wavex consultant today to understand your current exposure and the steps needed to address it.



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