Comparison
Squidward vs. Traditional DLP
Traditional data loss prevention tools were built to watch email, file transfers, and endpoints for humans moving sensitive data. Squidward extends that same intent — stopping sensitive data from leaving where it shouldn't — to the structured tool calls that AI agents make through MCP.
| Capability | Traditional DLP | Squidward |
|---|---|---|
| Inspection point | Email, file transfers, endpoint clipboard/USB | Every MCP tool call, in both directions |
| Content structure | Unstructured documents and messages | Structured tool parameters and JSON responses |
| Actor | Human users and known applications | AI agents acting autonomously on a user's behalf |
| Response options | Block or quarantine the transfer | Allow, deny, redact, quarantine, or require approval per policy |
| Context available | Sender, recipient, file type | Identity, tool, parameters, provider, and policy history |
A new blind spot for legacy DLP
An AI coding assistant that reads a database via MCP and pastes results into a chat window never touches email, a USB drive, or a monitored file share — the exact channels legacy DLP was built to watch. Squidward closes that blind spot by scanning the MCP call itself, at the only point every such request must pass through: the gateway.
Configure DLP rules
Learn how policies and DLP rules work together.