AI agents are making thousands of tool calls per day through MCP servers — reading files, querying databases, calling APIs. Medusa makes sure sensitive data doesn't leak through the cracks.
The Model Context Protocol connects AI agents to tools — filesystem access, database queries, API calls, code execution. Every one of these tool calls is a potential data exfiltration vector.
Without inspection, an AI agent can read your source code, access credentials, copy customer data, and send it anywhere — all within a single MCP session. Prompt injection attacks in server responses make this worse: a malicious tool response can instruct the agent to exfiltrate data silently.
A Medusa Model runs directly on the endpoint. Scans every tool call for secrets, PII, financial data, and 7 more categories — without any data leaving the device.
Sits transparently between AI agents and MCP servers. Intercepts every JSON-RPC message in both directions. Block, redact, or coach — your policy, your rules.
Deploy across your entire organization via MDM. Centralized policy management, real-time fleet health monitoring, and automatic MCP server discovery.
HMAC-signed policies, SHA-256 model verification, atomic config writes, file permission hardening. Security isn't a feature — it's the foundation.
10
DLP categories
100%
Detection rate
20/sec
Scanning throughput
12+
MCP clients supported
Make AI agents safe to deploy in enterprise environments by providing real-time visibility and control over every tool call — without compromising performance or requiring data to leave the endpoint.