Shadow AI – a growing challenge for organizations. How does Cloudflare help regain control?

Shadow AI is a phenomenon where employees use artificial intelligence tools – from generative chatbots to analytical models – outside the IT department’s control. Unlike traditional Shadow IT, the issue is more complex because data that may be permanently recorded or used in model learning processes is involved. This is why Shadow AI requires special attention – the consequences of such uncontrolled use can be severe for the entire organization:

➡️ AI applications can collect and analyze large amounts of confidential information.
➡️ A single unaware employee action can expose source code, customer data, or key documents.
➡️ Once shared, data may never return to the organization’s control and could be disclosed at any time.

In many companies, a situation arises where:

• it is unknown which AI tools are actually used,
• the data flow to AI applications is invisible,
• there is a lack of mechanisms to define and enforce clear AI use policies.

As a result, the risk of security breaches, procedural errors, or non-compliance with regulatory requirements increases. Cloudflare addresses these challenges at the infrastructure level, providing tools that enable transparency, control, and effective AI usage management in the organization.

Cloudflare One, within its SASE and Zero Trust architecture, has introduced several key features that allow organizations to take control over Shadow AI.

1. Full visibility of AI tool usage

Cloudflare Gateway tracks outbound traffic and creates detailed Shadow AI reports.
The organization sees:

• which AI tools are used,
• who on the team uses them,
• how much data is being transmitted,
• the risks associated with a particular application.

This solution eliminates “dark zones” and allows for building a genuine AI security policy.

2. AI application classification

Cloudflare allows labeling AI tools as:

• Approved – approved,
• In review – under review,
• Unapproved – blocked.

This is fundamental for any organization that wants to implement responsible and transparent AI usage.

3. Policy enforcement and data protection

With DLP capabilities, Zero Trust policies, and browser isolation, Cloudflare allows:

• blocking the transfer of sensitive data to external AI tools,
• limiting file uploads by users,
• enforcing security policies without impacting user experience,
• protecting data from unauthorized use.

For many companies, this is the only practical method to prevent accidental data leaks to AI models.

4. One platform to protect employees and AI applications

Cloudflare secures:

• employees who use AI,
• company AI applications, such as chatbots or API models,
• interaction of company users with public AI models.

This is a unique benefit – companies can secure the entire AI lifecycle in a single ecosystem.

1️⃣ Agentless deployment

The entire platform operates natively in the cloud and leverages Cloudflare’s global network to analyze traffic. This makes the start-up process typically take just a few hours without installing additional components on user devices.

2️⃣ Consistent security rules across the company

Regardless of whether employees work from the office, home, or the other side of the world, the same AI tool usage rules are implemented consistently and automatically.

3️⃣ Global scale and performance

Cloudflare operates servers in over 100 countries and manages a significant portion of global internet traffic. This infrastructure provides a unique ability to quickly and accurately analyze and control AI-related activities – without affecting performance.

4️⃣ Attractive cost model

Compared to other SASE and Zero Trust platforms, Cloudflare offers a very favorable price-to-functionality ratio, allowing companies to implement advanced security measures without excessive investments.

Shadow AI is a growing threat that evolves along with the increasing popularity of artificial intelligence tools. To effectively manage it, organizations need more than a list of prohibitions – key elements include:

• ensuring complete visibility of user activities,
• effective control over what data enters AI applications,
• clearly defined and enforced security policies,
• building a responsible approach to AI usage among employees.

Cloudflare One addresses these needs by providing a coherent and comprehensive set of tools that enable safe use of artificial intelligence capabilities without risking data and business processes. As a distributor of Cloudflare solutions, we support organizations at every stage – from needs analysis, through implementation, to further optimization. Feel free to contact us if you want to learn how to safely manage AI solutions in your company!