Discover how Shadow AI is a risk for your organization

The term Shadow AI refers to the use of unapproved artificial intelligence tools by employees or departments, outside the governance scope of IT or security. (See also our article on AI browsers like Comet and Atlas)

In other words, it follows the same logic as Shadow IT, but with amplified risks: AI tools often process sensitive or critical data, interact with external models, and are frequently used independently by employees seeking to accelerate tasks.

The consequences are multiple:

• Data leaks or exfiltration of sensitive information (clients, internal data, intellectual property) to uncontrolled third-party platforms.
• Compliance issues (GDPR, etc.): Where did the data go? Into which models? Under what guarantees?
• A weakened IT and security governance, as “off-radar” uses multiply, creating blind spots.
• A potential erosion of trust and a risk to reputation and integrity.

In this context, it is no longer enough to simply say “ban unapproved tools.” Users often turn to external AI tools out of necessity, for speed, innovation, or convenience.
Organizations must therefore adopt a posture of visibility and control, but also one of strategic acceptance and integration of AI.

How the RBI + Containers Combination Reinforces Control Over Web and Application Use

As we explained in our in-depth article on Remote Browser Isolation (RBI), isolating browser sessions is one of the most effective ways to reduce attack surfaces.

A Natively Containerized RBI

At Reemo, Remote Browser Isolation (RBI) is natively containerized through the Reemo browser isolation solution.

This means every browsing session runs inside an ephemeral, isolated, controlled container that is destroyed as soon as the session ends.

This model offers a major advantage: the isolated browser never runs on the user’s device or a shared server, but in a dedicated, confined instance fully managed by Reemo’s secure remote access platform.

As a result, the user never directly processes web content:

• The display is only streamed.
• Scripts, downloads, and forms are filtered or neutralized.
• Security policies (whitelists, blacklists, application filters, traffic inspection) are enforced at the container level.

This containerized RBI becomes a natural extension of the Zero Trust model: no flows are executed locally, no data leaves the authorized perimeter, and the environment is destroyed after each use, eliminating any persistence risk.

In practice, this approach enables organizations to:

• Completely separate Internet browsing from the user’s device.
• Apply granular policies (authorized sites, allowed scripts, permitted actions).
• Contain web-related risks: phishing, downloads, code execution, browser exploits, or unapproved AI tool usage.

In the fight against Shadow AI, such isolation is critical. Web sessions can no longer serve as covert channels to connect to unauthorized AI services or exfiltrate internal data.

Why This Dual Approach Helps Contain Shadow AI

A user attempting to access an unauthorized AI tool will typically:

• Open a web browser or unapproved extension.
• Visit a generative AI SaaS site (ChatGPT, Gemini, etc.).
• Possibly upload internal data, prompts, or extract results.

With an RBI already in place, this risk is drastically reduced:

• The legitimate browser is isolated and can be configured to block certain sites or scripts (via whitelists/blacklists).
• All external browsing sessions are routed through this isolation layer, enforcing traffic through the security system (proxy, RBI) before any external access.
• Web access can be restricted so that it only occurs within the container (and not from an unfiltered local machine), ensuring all traffic passes through Reemo’s infrastructure.

In other words, the RBI’s strength lies in limiting data exfiltration by restricting copy/paste, uploads, and downloads.

Human Limits: The Persistent Risk of Personal AI Accounts

Even with a containerized RBI and strict web access control, one risk remains: the user.

When an employee uses their personal AI account (ChatGPT, Gemini, Perplexity, etc.) from an unsupervised device such as a smartphone, tablet, or personal laptop, data can leave the controlled perimeter without any technical safeguard preventing it.

This is the gray zone of behavioral Shadow AI:

• Access no longer passes through the company’s proxy or RBI.
• Data entered (prompt, document, code, client text) is directly processed by an external model.
• No traceability or auditability is possible.

This threat goes beyond classic Shadow IT. It is a form of cognitive leakage, voluntary or not, where a well-meaning employee, trying to save time with AI, unintentionally exposes intellectual property.

How Reemo Helps Contain This Risk

• Enforcing work sessions within controlled containers on professional devices: only these environments have Internet access, through the proxy and RBI.
• Blocking local browsers and unfiltered ports: preventing direct bypass connections.

This technology reduces the exposure surface and enforces usage through secured environments.

However, the human factor remains. Intent and behavior cannot be neutralized by technology alone, they require clear directives and a culture of responsible data use. It is extremely difficult to control what information users share from devices outside the company’s control.

Awareness and training are therefore essential. Users must understand that any prompts, documents, or code submitted to public AI tools leave the company’s confidentiality sphere.

Shadow AI: A Real Business Challenge

The spread of unapproved AI tools introduces tangible risks such as data leaks, compliance breaches, and governance loss.

Combining browser isolation (RBI) with application containers is a strong first step in a broader anti–Shadow AI strategy. By enforcing browsing through isolated environments, controlling access containers, and filtering external AI sites, organizations can significantly reduce blind spots.

For Reemo, this approach aligns naturally with its mission: delivering not just remote access, but a secured, controlled, and compliant platform. Reemo provides the right tools to help limit Shadow AI across your organization.

However, the human dimension remains central. Technology must be integrated within policy, training, and reinforced governance.