Bitdefender has published a product walkthrough for its AI visibility and control capabilities, focusing on a problem many businesses are beginning to face: employees and developers can use AI tools without those tools appearing in traditional software inventories. While the article is a vendor-led product presentation, it points to a broader operational and security challenge for companies adopting or restricting generative AI.

What happened

According to the walkthrough, common AI usage can bypass normal IT oversight in several ways. An employee may paste business information into a browser-based chat assistant, a developer may enable an AI coding extension inside an editor, or a user may install a local model runtime that runs AI models directly on a workstation. In each case, standard software management processes may have limited visibility into what is being used and what data is being processed.

The source is primarily a demonstration of Bitdefender's product capabilities rather than an independent incident report or regulatory update. However, the scenarios described reflect a real category of enterprise concern often referred to as shadow AI: the use of AI tools outside approved procurement, security and compliance workflows.

Why it matters for European businesses

For European businesses, the issue is not only productivity experimentation. It also touches on data protection, confidentiality, cybersecurity and internal governance.

If staff paste customer information, internal documents, source code or commercial plans into external AI services, organisations may face questions about where that data goes, how it is processed and whether use aligns with internal policies and contractual obligations. Even when a tool runs locally, companies still need to understand what software is present on endpoints, what models are being used and whether those tools create new security or compliance risks.

This matters particularly for firms handling sensitive client data, regulated information, proprietary code or commercially valuable documents. It is also relevant for businesses trying to introduce AI in a controlled way rather than banning it outright.

From a security perspective, unmanaged AI usage can create blind spots. Traditional controls often focus on installed applications, known SaaS platforms or approved devices. Browser sessions, plug-ins, extensions and locally run AI components may sit outside those controls unless companies update their monitoring and policy frameworks.

Who may be affected

• SMEs adopting generative AI without formal AI governance or approved tool lists.
• Software and product teams using coding assistants, local model runtimes or developer plug-ins.
• Marketing and commercial teams experimenting with public AI tools for content, analysis or customer communications.
• Companies handling confidential or regulated data, including customer records, financial information, health-related data or sensitive internal documents.
• IT and security teams responsible for endpoint visibility, SaaS oversight and acceptable use policies.

What companies should consider

Businesses do not necessarily need to block all AI tools, but they should review whether current controls match how employees actually use AI.

• Map current AI usage across browser tools, plug-ins, editor extensions and local runtimes, not just approved SaaS subscriptions.
• Define clear internal rules for what data employees may or may not enter into external AI systems.
• Review endpoint and browser visibility to assess whether existing security tools can detect AI-related extensions, services or runtimes.
• Create an approved AI tool list for common business and developer use cases to reduce incentives for unsanctioned adoption.
• Train staff and managers on confidentiality, prompt hygiene and the difference between public AI tools and company-approved environments.
• Check contracts and data processing terms before business teams use AI services with customer or operational data.
• Align security, legal and business teams so AI adoption decisions are practical rather than purely restrictive.

In short, the Bitdefender walkthrough is a vendor announcement, but it highlights a real issue for European companies: AI use is increasingly happening through channels that are easy for employees to access and difficult for organisations to see. For businesses balancing AI adoption with data protection and security, visibility is becoming a core operational requirement.