Building the Security Layer
for AI Tools

Your team pastes and types into ChatGPT, Claude, Gemini, and more all day — sometimes secrets, PII, or source code. Medusa makes sure sensitive data doesn't leak through the cracks.

The Problem

AI chat boxes are unmonitored exit doors

Employees paste error logs, config files, customer records, and proprietary code into ChatGPT, Claude, Gemini, and other AI tools every day. Every one of those submissions is a potential data exfiltration vector.

Without inspection, a single paste can send source code, credentials, or customer data straight to a third-party model — with no record and no warning. Prompt-injection content pasted from the web makes this worse, quietly steering the model toward leaking more.

Our Solution

In-Browser DLP

A Medusa Model runs directly inside the browser. Scans what users type or paste into AI tools for secrets, PII, financial data, and 7 more categories — without any text leaving the browser.

Warn Before You Share

The extension catches sensitive content the moment it's typed or pasted on an AI provider site. Warn, block, require justification, or hard-block — your policy, your rules.

Org-Wide Management

Roll the extension out across your organization via managed deployment. Centralized per-category policy, real-time visibility, and approvals for blocked submissions.

Zero Trust Architecture

HMAC-signed policies, SHA-256 model verification, atomic config writes, file permission hardening. Security isn't a feature — it's the foundation.

7

DLP categories

100%

Detection rate

20/sec

Scanning throughput

6+

AI provider sites covered

Our Mission

Make AI tools safe to use in enterprise environments by providing real-time visibility and control over what employees share with them — without compromising performance or requiring text to leave the browser.

Ready to secure what your team shares with AI?