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Island’s Enterprise Browser for Agents: AI Agents Get a Browser With Company Rules Built In
Island, the Dallas company behind the enterprise browser category, launched its Enterprise Browser for Agents on October 29: a browser built for AI agents that applies a company’s enterprise controls to everything agents do inside it — SaaS apps, internal applications and public websites.
What it does
Island’s pitch is that it governs browser activities, not agents. From the moment an endpoint or cloud agent calls the browser or reaches internal resources, the organization’s policies cover data movement, credential use and resulting outputs. Each agent gets only authorized tools and pages, set per agent and per application — down to which DOM operations are allowed and whether the agent can write or only read. The controls are built into the browser itself and cannot be disabled or bypassed by end users or agents. It deploys on devices and in the cloud, so local and remote agents are covered with no dependency on a cloud-hosted browser outside the organization’s control. Underneath are the pieces Island already runs for human workers: identity federation, data boundaries, credential isolation and full attribution.
Why companies want this now
Agents are taking on routine enterprise work, and the old answer — give the agent a login and hope — breaks down the moment an agent can read, copy and act across systems. Island calls the product an “agentic control plane”: one place to govern people and agents as they work across devices, browsers, applications, networks and data. The company also notes it is the only vendor named a “Customers’ Choice” in Gartner’s 2026 Voice of the Customer for Secure Enterprise Browsers — a vendor-cited distinction, not an independent test of this product.
What we do not know yet
The announcement includes no pricing or availability details, and no independent testing of the product yet exists. How easily it fits existing identity and security stacks is unproven, and this is an enterprise product — not something an individual can simply try today. For teams evaluating agent browsers, the honest summary is: the control model is concrete and specific, the real-world record is not yet.