Protecting AI Usage Where It Actually Happens

AI is rapidly becoming embedded in everyday work. Employees use AI tools to summarize documents, analyze data, write code, draft emails, and make decisions—all at unprecedented speed. But as adoption accelerates, one critical gap remains: AI security often stops short of the browser.

Most AI interactions happen inside the browser. That makes browser security a foundational requirement for effective AI security.

Without browser-level controls, organizations lack visibility into how AI tools are accessed, what data is shared, and whether usage aligns with policy. This is why modern AI security strategies must include browser security software and browser security solutions designed for today’s cloud-first reality.

AI tools are rarely installed as traditional software. Instead, users access them through:

• Web-based AI platforms

• AI features embedded in SaaS applications

• Browser-based chat interfaces

• AI-powered extensions and plugins

This makes the browser the primary interface between employees and AI systems.

From an AI security perspective, the browser is where:

• Prompts are entered

• Sensitive data is uploaded

• AI-generated outputs are copied or downloaded

• Credentials and OAuth sessions are used

• Extensions interact with AI services

If AI security does not extend into the browser, it misses the most important control point.

Many organizations attempt to secure AI usage through:

• Acceptable use policies

• User training

• Network-level controls

• SaaS governance tools

These approaches struggle because they:

• Rely on trust and manual compliance

• Lack visibility into real-time browser activity

• Cannot distinguish legitimate AI usage from risky behavior

• Do not control how data is handled inside browser sessions

Without secure browsing controls, AI adoption quickly becomes shadow AI—unmonitored, unmanaged, and risky.

When AI usage is not secured at the browser layer, organizations face multiple risks:

Through browser uploads and prompts, employees may by unintentionally feeding AI tools with:

• Confidential documents

• Customer data

• Financial information

• Intellectual property

Even when AI use is restricted or prohibited, employees often continue using AI tools in the browser—without MSP visibility or enforcement.

AI tools frequently rely on browser-based authentication, OAuth flows, and shared sessions, creating identity exposure that traditional tools cannot see.

AI-powered browser extensions can access page content, keystrokes, and clipboard data—often with excessive permissions.

These risks cannot be addressed without browser security solutions.

A managed browser strategy brings AI security, browser security, and data protection together into a single control plane.

By managing the browser, organizations gain:

• Centralized visibility into AI usage

• Consistent policy enforcement

• Protection across managed and unmanaged devices

• Secure browsing without relying on user behavior

This approach scales across users, locations, and tenants—making it ideal for MSPs and modern enterprises.

Atakama delivers AI security by securing the browser itself.

With Atakama security, organizations and MSPs can:

• Track and analyze AI usage in real time

• Enforce AI access policies directly in the browser

• Prevent data exposure during AI interactions

• Control AI-powered extensions

• Maintain productivity with minimal user disruption

Atakama enables secure browsing that supports AI adoption—without blind spots.

AI is not slowing down. Neither are the risks.

To secure AI effectively, organizations must protect:

• Where AI is accessed

• How data is shared

• How policies are enforced

All in the browser.

AI security without browser security is incomplete.
With Atakama, organizations can embrace AI confidently—while keeping data, users, and policies protected.