The Browser Is the Last-Mile AI Interaction Layer
AI adoption is moving faster than governance. The browser is where people, SaaS tools, coding environments, agents, and business data interact with AI systems, and most teams lack practical visibility into which tools are in use and what data is being shared.
Download our free eBook to understand the last-mile AI interaction layer and how to adopt AI safely.
AI Security and Governance
The browser is where AI usage, data sharing, and agent activity actually happen, and where they are hardest for teams to see.
Acium places visibility and control at the last-mile AI interaction layer, so teams can discover AI usage, surface Shadow AI, govern extensions, and enforce data-sharing policies.
AI Usage Visibility
Discover approved and unapproved AI usage, including Shadow AI.
Web and SaaS Activity
Understand browser-based work across SaaS apps.
Data-Sharing Controls
Apply policy before sensitive content reaches unauthorized models or accounts.
Extension Governance
Inventory and review extension permissions.
Three Places to Govern the AI Interaction Layer
Extension Governance
Productivity extensions often run with broad permissions. Without an inventory and risk review, teams have little visibility into what those extensions can access.
AI Usage and Data Sharing
Employees share business data with ChatGPT and other AI tools as part of daily work, some approved, some Shadow AI. Teams need visibility into which tools are in use and what data is being shared.
Web and SaaS Activity
AI and SaaS use spreads across Chrome, Edge, and Safari. Consistent visibility and policy across browsers keeps that activity governable.
Where Existing Tools Leave an AI Governance Gap
Firewalls see traffic. EDR sees processes. CASB sees sanctioned SaaS. DLP scans files. None of them were built to see the AI interaction layer. Acium adds AI governance at that layer to complement the tools you already run.
Network Security
Sees traffic, but has limited visibility into the AI interactions happening inside encrypted browser sessions.
Endpoint Agents
See processes, with limited context into what happens inside browser tabs, AI prompts, and agent workflows.
CASB Solutions
See sanctioned SaaS, with limited visibility into unapproved AI tools, personal accounts, and Shadow AI.
DLP Tools
Scan files, with limited control over data typed or pasted into AI prompts at the point of use.
Govern the Last-Mile AI Interaction Layer
The browser is the point where people, SaaS tools, coding environments, agents, and business data interact with AI systems, and where that activity is hardest for existing tools to see. Acium adds visibility and policy enforcement at that layer so teams can adopt AI safely.
The Governance Layer for Safe AI Adoption
Acium gives you visibility and control over AI usage, data sharing, extensions, and web and SaaS activity, across browsers, devices, and users, from one management console.
AI Usage Visibility
See approved and unapproved AI usage, including Shadow AI, plus copy/paste, downloads, uploads, and prompts across Chrome, Edge, and Safari from one management console.
Extension Governance
Automatically inventory and risk-score browser extensions. Review permissions and govern which extensions are approved, restricted, or removed.
Real-Time Data-Sharing Controls
Enforce data-sharing policies before sensitive content reaches unauthorized models or accounts, across ChatGPT, Claude, and other AI tools.
Consistent Policy Across Browsers
Apply consistent policies across browsers and devices, corporate, BYOD, and contractor equipment, from a single console.
Web and SaaS Policy Enforcement
Use URL and site category filtering to enforce acceptable use across browser-based work and keep web and SaaS activity governable.
Risk and Compliance Reporting
Apply policies based on user, group, and device, and produce audit-ready reporting on AI usage and data sharing for security, IT, compliance, and leadership.
Start Governing AI in Minutes, Not Months
Deploy
01Simple browser extension deployment via Google Admin, Microsoft Entra ID, or manual install. No infrastructure changes required.
Configure
02Set policies for extensions, AI tools, data controls, and web filtering from an intuitive dashboard. Apply rules by user, group, or device.
Govern
03Visibility, reporting, and enforcement begin immediately. Users keep their preferred browsers and workflows while governance runs quietly in the background.
Integration Callout
Integration-ready with your existing SIEM, directory services, and security stack.
One Platform for AI Security and Governance
Gain AI and SaaS Visibility
Understand which web and AI applications your team uses. See activity patterns and apply policies to reduce data exposure without blocking productivity.
AI Governance Built for the Way Work Happens
Browser Agnostic
Chrome, Edge, Safari, manage them all.
Device Agnostic
Corporate, BYOD, contractor devices.
Deployment Flexibility
Minutes to deploy, no infrastructure changes.
User Experience
Works invisibly, maintains productivity.
Standards-Based
OCSF-compliant data for easy SIEM integration.
Granular Control
Policies by user, group, and device for browser-based work.
Data Sovereignty
Control where data is stored and processed.
Integration-Ready
Works alongside your existing security stack.
📖 FREE EBOOK - Expert Insights & Data
Govern the Last-Mile AI Interaction Layer
A practical guide to safe AI adoption: how to make AI usage visible, governed, and accountable where work actually happens, and how to get started.
Key Topics Covered:
- Adoption Ahead of Governance: Why AI use is growing faster than teams can govern it, from chat tools to Shadow AI, and what that means for security and IT
- The Last-Mile AI Interaction Layer: Why the browser is where people, SaaS tools, coding environments, agents, and business data meet AI systems
- The AI Governance Gap: Where existing tools (firewalls, endpoint agents, CASB, DLP) have limited visibility into the AI interaction layer
- A Practical Approach: How to gain AI usage visibility and data-sharing control with a management console, browser extension, and optional sensor
What You'll Learn:
How to discover which AI tools employees are using, approved and unapproved
How to enforce data-sharing policies before sensitive content reaches unauthorized models or accounts
How to govern browser extensions and review their permissions
How to enforce policy for web and SaaS activity from one console