Enterprise AI Browser Extension Control Playbook

AI browser extensions are becoming one of the easiest ways for sensitive enterprise data to leave controlled environments.

Enterprise AI Browser Extension Control Playbook is a practical security guide for IT teams, CISOs, security engineers, compliance leads, and operations teams that need to control AI-capable browser extensions before they become unmanaged data loss channels.

This focused playbook shows how to treat browser extensions as part of the enterprise AI control plane, not as harmless user add-ons. It explains how to inventory extensions, review risky permissions, build allowlist and blocklist policies, detect Shadow AI behavior, connect browser controls to DLP, and create a repeatable approval workflow.

Inside, you will learn how to:

• Identify AI browser extensions that may expose enterprise data
• Classify extension permissions by risk level
• Build a practical extension inventory and review process
• Create allowlist, blocklist, and exception workflows
• Connect browser extension governance to DLP and data protection
• Detect Shadow AI extension behavior across users, devices, and browsers
• Use a 30-day roadmap to deploy the first version of an extension control program

The book also includes practical worksheets, scoring tables, review templates, and operating checklists designed to help teams move from vague concern to controlled implementation.

This is not a generic AI policy book. It is a focused operating playbook for controlling the browser-layer risks created by AI sidebars, summarizers, writing assistants, code helpers, and other extensions that may request access to pages, tabs, clipboard data, scripts, or web requests.

If your organization is beginning to address Shadow AI, unmanaged browser extensions are one of the best places to start.

Best for: enterprise security teams, IT administrators, CISOs, compliance teams, DLP owners, endpoint security teams, and AI governance leads.