---Automated DLP for Cursor & VS Code | Panovista
Deploy Sandbox

Automated DLP for Cursor & VS Code

Modern development teams are rapidly adopting AI-powered IDEs like Cursor, GitHub Copilot, and VS Code extensions. These tools increasingly rely on the Model Context Protocol (MCP) to index local files, read git repositories, and query local development databases.

If a developer accidentally connects their IDE to a production database dump, a .env file, or a log containing customer PII, that data is silently uploaded to external model providers for context generation. Panovista isolates local developer workspaces from public LLMs by serving as an automated, lightning-fast Data Loss Prevention (DLP) sidecar.

The Developer Sidecar & Frictionless Security

Developers hate security tooling that slows them down. Panovista is lightweight enough (consuming less than 20MB of RAM) to run directly on individual developer workstations without impacting system performance.

By configuring Cursor or VS Code to point their MCP connections at the local Panovista sidecar instead of directly at the tools, security teams can enforce corporate DLP policies at the absolute edge of the network. Panovista adds sub-millisecond latency to local LLM requests, silently scrubbing restricted data from the context window before it ever leaves the laptop.

Configuring Cursor Custom MCP Servers

Cursor allows developers to natively mount custom MCP servers directly within the IDE settings. This lets the local AI assistant execute system terminal operations, search codebases, and parse project files safely.

By mounting Panovista as the primary entry point, your codebase context is swept for sensitive content before the IDE sends payload tokens to public model architectures:

{
  "mcpServers": {
    "panovista-secure-bridge": {
      "command": "panovista-proxy",
      "args": ["--mode", "developer-dlp", "--port", "8080"],
      "env": {
        "PANOVISTA_CONFIG": "~/.panovista/local_dlp.json"
      }
    }
  }
}

Catching Local Secrets on the Line

With local semantic scanning running on our high-performance Go runtime loop, Panovista allows engineering teams to leverage cutting-edge AI coding assistants without violating enterprise compliance mandates: