Most security teams block AI not because they want to, but because they have no visibility into what's being used or where data is going. AI Protect changes that — giving organizations a complete picture of AI usage across the browser, desktop, and network, along with the controls to act on it. The result is a path from reactive blocking to confident enablement.

Read on for a transcript of the AI Protect demo video.

Let's start with AI Protect. AI Protect delivers visibility and control across all AI tools. Customers need a risk reputation engine on extensions to understand what AI extensions are being used. They need visibility into the desktop and into the network.

In the hierarchy of needs for an organization that wants to enable AI, this is the basics. They have to know how many users are using AI, what AI applications are being used, how many prompts are sent, and how users are signing into those applications — whether with a personal or enterprise account.

Island can surface very interesting insights: sensitive information being transferred to a non-corporate account, large volumes of data being uploaded to an AI application, new AI applications appearing in the organization. These are unique capabilities because of how much data and visibility we have in the platform.

We also have visibility into how files move within the organization. We can show clipboard actions — where clipboard data was moved from and to with respect to AI applications. And because we are also the network, we can show insights into MCPs and tools. If a tool moved data between Slack and ChatGPT, we have visibility into that because we control the presentation layer — we're the browser, we're at the desktop.

AI extensions have been a growing risk for organizations in 2025, and it's likely to be an even bigger risk in 2026. Island is well positioned here. We can show customers exactly what extensions are being installed in the organization, including risk scores and permissions, to help them evaluate possible risks. We can help them set policies to limit the extensions being deployed.

Beyond visibility, we provide control. Our 360 DLP policy — spanning desktop, network, browser, and extensions — can be applied to AI applications, along with very specific controls for Gemini, ChatGPT, Copilot, Claude, and more. It's a library that keeps growing.

One product. We can see everything users are doing in the enterprise browser. We get full visibility by rolling out the extension on other browsers. We get desktop visibility. Where other vendors rely on blocking, we allow organizations to understand what is being used, what the risk is, what data is moving between existing apps and AI apps — and then create a governance policy around that. That is AI Protect.