Feedback/Inquiry: Enhancing Cursor Hooks for Enterprise Security and Data Redaction

Ideas Feedback
1

Hi Cursor Team,

I am exploring Cursor Hooks to implement enterprise-level logging and sensitive data protection (DLP) within our organization. While the current hooks are promising, I’ve identified a few critical gaps regarding security and data privacy that I’d like to share.

1. Visibility into Local Tool Operations

Currently, Cursor utilizes various local tools (e.g., readFile, grep, listDir) to gather context. However, these operations seem to bypass the current hook system.

  • The Concern: From an enterprise security perspective, we cannot log or audit when/what specific files are being accessed by these internal tools.

  • Question: Is the team aware of this “blind spot” in logging, and are there plans to extend hooks to cover these local filesystem operations?

2. Intercepting and Redacting Sensitive Data Before LLM Submission

I am particularly interested in the afterShellExecution event (and similar tool-output events). In many cases, a shell command might return sensitive information (PII, credentials, or proprietary data).

  • The Requirement: We need a way to inspect the output of a shell execution before it is sent to the LLM context. If sensitive data is detected, we want the ability to redact or block that specific content from being uploaded to the model.

  • Current Limitation: As far as I can tell, the current API does not support “intercepting and modifying/blocking” data before it reaches the LLM.

  • Question: Are you considering adding a “pre-LLM submission” hook that allows for programmatic data filtering or blocking?

We love the productivity Cursor provides, but these security features are essential for broader enterprise adoption. I would love to hear your thoughts or if these items are on your current roadmap.

Best regards,

2

Hey, thanks for the feedback.

A few clarifications on current Hooks capabilities:

  1. File operations: Hooks already support the beforeReadFile and afterFileEdit events. These cover file access by the agent. See: Hooks | Cursor Docs

  2. Pre-LLM filtering: The beforeSubmitPrompt hook lets you validate or block prompts before submission. For shell output, afterShellExecution provides visibility, but modifying output before it reaches the LLM context isn’t currently supported.

  3. Partner solutions: For enterprise DLP needs, check out our partner integrations:

  • MintMCP: scan responses for sensitive data
  • Semgrep: real-time code security scanning
  • 1Password: secrets management

Docs: Hooks | Cursor Docs

For the specific “intercept and modify data before LLM submission” feature, this is a valid enhancement request. I’d suggest reposting it in the Feature Requests category so it gets proper visibility with the product team.