The world’s leading enterprises run on Island.

.png)

.png)

.png)

.png)

.png)

The new reality of work

AI agents are no longer limited to developers. Every employee now has access to them. The enterprise runs on swarms of concurrent agents (chat, coding, copilots, autonomous) that read data, call tools, and trigger workflows at machine speed. The security stack wasn't built for that.

53%

of the AI interactions are autonomous actions

93%

of prompts approved, the human in the loop wasn't in the loop

1 in 3

MCP servers carry a high or critical severity finding

92%

MCP server owners have no verifiable org affiliation

The governed action

Island sits where AI is used: browser, endpoint, network, every tool call. One control plane captures the full chain, from prompt to tool call to file. One policy for humans and agents.

The Problem

AI adoption is outpacing control

Blind to agent actions

Agents act autonomously, able to alter production environments. Security teams have no way to see what the agent did or why.

Data movement, unmanaged

Agents pull data from Salesforce, Jira, and Slack into tools no one vetted. It crosses every boundary with no one watching.

Shadow AI is everywhere

Employees try new AI tools every day, mostly un-tracked. Security can't guide usage and IT can't measure real value.

Every tool sees only a slice

The network sees a file leave, the endpoint sees a script run, but neither connects the prompt injection that caused it.

The Solution

Every human. Every agent. Governed.

The posture, identity, protection, visibility, and productivity gains already built for every person in the organization extend just as naturally to every agent acting on their behalf.

Agentic Endpoint Posture

Discovers every MCP server, skill, and extension running on the endpoint, and removes the ones flagged as risky.

Agentic Identity (NHI)

Inventories every non-human identity in use, analyzes its risk, and issues just-in-time access instead of standing credentials.

AI Runtime Protection

Inspects every prompt, tool call, and file, blocks threats inline, and tells the agent or the user why so it corrects course instead of just failing.

AI Experience & Cost Intelligence

Tracks real usage, cost, and performance per person and agent, and acts on waste instead of just reporting it.

Vibe Publishing

Gives vibe-coded apps a home inside Island, so each one arrives with single sign-on, data protection, private access, and a full audit trail.

Enterprise Browser for Agents

Allow agents to access and interact with web content with full governance, including visibility, policy enforcement, data protections, and more.

Control points & Integration

Everywhere work happens

AI visibility & discovery

Every AI action is known

See what every human or non-human does. Inventory what exists.

• Discover every AI tool, NHI, agent, MCP, and Bash command
• Audit every prompt, response, tool call, and tool response
• Map agent identities to users, sessions, and access paths
• Scan installed browser extensions and code packages

AI runtime security

Inline threat defense

Detect threats before agents act on them.

• Block prompt injections and jailbreaks before execution
• Detect and block malicious URLs across agent interactions
• Flag compromised MCPs and skills with unified threat intel
• Prevent unauthorized Bash execution and command injection

AI governance

Agent boundaries

Control what data moves, what agents do, and who they act as.

• Enforce DLP and content moderation on every interaction
• Detect and redact PII on prompts, files, and tool calls
• Control action types per tool: read, write, or execute
• Restrict inherited permissions with time-boxed access

AI optimization

Know your AI spend and usage

Track what AI costs and whether it pays back.

• Track AI token spend and detect waste per team & project
• Flag when premium models run tasks lighter models could handle
• Identify underused AI tools and pinpoint adoption barriers
• Monitor AI tool performance and its impact on productivity

AI enablement

Unblocking AI access

Say yes to AI. On your terms.

• ​​Extend AI governance to BYOD, contractors, and partners
• Grant just-in-time access scoped to each agent and task
• Govern browser actions with policy via Browser-use MCP
• Publish internal MCP servers without exposing API keys or network

A Guide to AI Governance in the Enterprise

Your security team can see employees are using AI. They can't see what's being put into it. Here's what to do about that.

360° of visibility and control of agents

.svg)

Island Enterprise Browser

Sees and governs every AI interaction on the web.

Island Extension

Extends that same governance to any browser.

Island Desktop

Delivers AI visibility and control on every endpoint.

Island Network

Applies inline inspection and policy for every AI tool and agent.

Island MCP Gateway

Governs every MCP call with identity, policy, and audit.

LLM Gateway Integrations

Integrates with your LLM gateway to enforce policy.

Compliance API Integrations

Surfaces AI vendor conversations and usage data.

EDR and MDM Integrations

Extends AI governance through tools already deployed.

LLM Inference Hooks

Enforces inline policy checks before model inference.

Direct API

Build governance directly in coded agents using Island APIs.

Applicative Hooks

Enforce inline policy and provide visibility into agent operations.

See more. Enforce deeper. Cover everyone.

Full interaction visibility, dual-layer enforcement, and one policy framework for every identity.

Engineered detection

Purpose-built classifiers and models trained for each threat type. Accurate, efficient, inline enforcement.

Complete interaction coverage

Tool calls, responses, files, skills, MCP invocations, and prompts, correlated end to end so no action happens in isolation.

One framework, every identity

Humans and non-human identities governed under a single policy framework. One console, one audit trail, no gaps at the edges.

Built for how enterprises actually use AI

.avif)

AI Enablement

Let employees use approved AI tools while keeping PII, IP, and financial records out of prompts and outputs.

Internal System Access

Let any agent navigate legacy, no-API internal apps under full DLP, redaction, and audit via Browser-use MCP.

Agentic workflows

Apply identity and device context to AI agents operating at scale, with audit trails and human-in-the-loop controls where risk is highest.

Shadow AI

Discover every agent, every MCP, every tool. Inventory MCP servers, coding agents, skills, and models with risk-scores on what's running.

AI Security

Block adversarial prompts targeting agents and the data they touch, including indirect injection from web and document content.

Just-in-Time Access

Time-boxed, context-aware credentials for agents. No standing access. No over-broad scopes inherited from the human user.

Compliance

Content-level audit records tied to user, device, agent, and policy. Exportable for SOC 2, ISO 27001, and internal review.

Contractors & BYOD

Apply the same AI governance policies to unmanaged devices and third parties without MDM, VDI, or heavy endpoint agents.

FAQs

What is AI governance for enterprises?

AI governance is the set of policies, controls, and audit capabilities that let enterprises use AI tools and agents at scale without losing visibility into what data moves, what actions agents take, or what it costs. It spans data protection, threat detection, identity scoping, access control, and compliance.

How does Island protect against prompt injection?

Island runs a dedicated prompt-injection detector inline on every interaction, paired with an LLM-as-a-judge evaluator and DLP on egress. This three-layer approach catches adversarial instructions embedded in web content, MCP responses, and document inputs before agents act on them.

What AI tools and agents does Island govern?

Island governs AI interactions across browser-based tools (ChatGPT, Claude, Gemini, Copilot, Perplexity), coding agents (Cursor, Windsurf, Cline), desktop agents, autonomous agents, MCP servers, Bash commands, and homegrown AI apps built on LangChain, LangGraph, or vendor SDKs.

How does Island help with EU AI Act compliance?

EU AI Act enforcement begins August 2, 2026. Island provides the content-level audit trail, policy enforcement records, and exportable compliance data that regulated enterprises need across every AI surface, including agentic surfaces that vendors leave unaudited.