From individual developers to enterprise security teams — Medusa protects what your team shares with AI tools at every scale.
ChatGPT, Claude, Gemini, Copilot
Developers paste stack traces, config files, and snippets of source code into AI tools all day to debug and ship faster. A single paste can leak API keys, environment variables, or proprietary code straight to a third-party model.
Medusa runs a DLP model right in the browser. It scans what users type or paste into AI tools in real-time and warns them before secrets or PII ever leave the page.
Managed deployment, central policy, per-endpoint visibility
Security teams need to protect what hundreds of employees share with AI tools without disrupting their workflows. Manual setup doesn't scale, and users can't be trusted to self-enforce DLP policies.
Push the browser extension to every employee via Jamf, Intune, or managed Chrome/Edge policy. Per-category policy is set centrally from the dashboard and applies to all enrolled browsers automatically. Findings and enforcement are visible in real-time.
PII, PHI, financial data, legal text
Regulated industries (healthcare, finance, legal) need to ensure employees don't paste protected data into AI tools. A single PHI leak into a chat box can trigger a HIPAA violation.
The Medusa Model detects 7 categories of sensitive data — including PII, PHI, financial data, secrets, and prompt injection — in what users type or paste into AI tools. All scanning happens in the browser, so protected data never leaves the endpoint.
Catch malicious pasted content
Content copied from the web — support tickets, emails, documents — can carry hidden instructions that hijack an AI tool's behavior, steering it to leak data or bypass safety controls. Pasting it into a chat box passes the attack straight through.
Medusa scans typed and pasted text for known injection patterns before it's submitted to the AI tool. Configurable actions: warn the user, block the submission, or require justification.