What is Shadow AI? The New Cybersecurity Risk Facing London Businesses

Artificial intelligence is rapidly transforming the workplace. Employees are using tools such as ChatGPT, Gemini, Claude, Copilot, Midjourney and countless AI-powered browser extensions to work faster, improve productivity and automate routine tasks.

Recent UK research found that 71% of employees have used unapproved AI tools at work, creating a growing phenomenon known as Shadow AI.

For London businesses handling sensitive client information, regulated data and confidential commercial information, Shadow AI is emerging as one of the most significant cybersecurity and compliance risks of 2026.

What Is Shadow AI?

Shadow AI refers to the use of artificial intelligence tools without the knowledge, approval or oversight of an organisation's IT or security teams.

It is the next evolution of Shadow IT.

Employees may use public AI platforms to:

• Summarise documents
• Draft emails and reports
• Analyse spreadsheets
• Generate presentations
• Review contracts
• Create marketing content
• Automate routine tasks

While the intention is usually positive, the risk is that business data is being shared with systems outside the organisation's control.

Unlike traditional software, AI tools actively process, interpret and generate information from the data users provide. This creates entirely new security, privacy and compliance considerations.

The Risks of Shadow AI

Data Leakage

Employees may unknowingly upload sensitive business information into public AI tools.

This could include:

• Client information
• Financial records
• Commercial contracts
• HR data
• Internal reports
• Strategic plans

Once data leaves the organisation's controlled environment, it can become difficult to determine where it is stored or how it is handled.

Compliance and GDPR Concerns

For organisations operating in regulated sectors, Shadow AI can introduce serious compliance challenges.

If personal information is uploaded into an unauthorised AI platform, businesses may face questions around:

• GDPR compliance
• Data residency
• Third-party processing
• Consent and lawful processing
• Information governance

This is particularly relevant for organisations in legal, financial services, healthcare and professional services sectors.

Inaccurate or Misleading Outputs

AI systems can generate convincing but incorrect information.

When employees rely on unverified AI-generated outputs for decision-making, reporting or client communications, errors can quickly become business risks.

How Businesses Can Reduce Shadow AI Risk

The goal should not be to ban AI. Instead, organisations should focus on enabling safe and responsible adoption.

1. Provide Approved AI Tools

If employees need AI capabilities, provide them with a secure and supported option.

Microsoft 365 Copilot is often a preferred choice because it operates within an organisation's existing Microsoft environment, security controls and permissions structure.

2. Create a Clear AI Usage Policy

Many organisations still have no formal guidance on AI use.

A clear policy should explain:

• Which AI tools are approved
• What data can be shared
• What information must never be uploaded
• Security and compliance requirements
• Employee responsibilities

Clear guidance reduces uncertainty and helps employees use AI safely.

3. Invest in Employee Awareness

Most Shadow AI incidents are not caused by malicious intent.

Employees often do not realise that pasting a client contract, financial report or HR document into a public AI tool may create compliance risks.

Regular awareness training helps bridge this knowledge gap.

4. Improve Visibility

Businesses need visibility into how AI tools are being used across the organisation.

Monitoring, governance controls and regular reviews can help identify emerging risks before they become security incidents.

5. Build an AI-First, Secure-First Culture

Successful AI adoption is not about restricting innovation.

It is about creating an environment where approved tools are easy to use, secure and aligned with business objectives.

When secure options are available, employees are far more likely to use them.

How Fitzrovia IT Helps London Businesses Prepare for AI

Here at Fitzrovia IT, we work with organisations across London and the UK to strengthen security, improve governance and prepare for emerging technologies.

As one of London's most established managed service providers, we have been supporting businesses since the 1990s. From Paddington to St Pancras, Hampstead to Hammersmith, and across Greater London, we help organisations build secure, resilient and well-managed IT environments.

Our approach focuses on ensuring technology supports business goals while maintaining strong security and compliance standards.

For organisations exploring Microsoft Copilot and AI adoption, we provide:

• AI readiness assessments
• Microsoft 365 security and governance reviews
• Data and permissions audits
• Role-specific Copilot training
• Hands-on workshops and user enablement
• AI governance and policy guidance
• Security best practices for AI adoption

We also help organisations prepare for the next stage of AI evolution. While tools such as Microsoft Copilot improve individual productivity, emerging AI agents will operate with increasing levels of autonomy across systems, data and workflows.

By establishing strong governance, security and data foundations today, businesses will be better positioned to adopt these technologies responsibly in the future.

Is Your Business Ready for AI?

AI is changing the way organisations operate, but successful adoption requires more than simply enabling new tools.

Our AI Readiness Audit helps identify gaps, assess risks and determine the practical steps needed to support secure AI adoption across your organisation.

If your business is considering Microsoft Copilot or wants to better understand the risks associated with Shadow AI, speak to team Fitz to learn how we can help.