How to secure sensitive data when using AI language models?

Secure sensitive data when using AI language models using CodeGate

This task can be performed using CodeGate

AI coding assistants and LLMs pose privacy risks by potentially exposing secrets and recommending outdated/risky dependencies.

Best product for this task

CodeGa

Provides a local proxy that encrypts secrets and augments LLM knowledge with up-to-date risk insights.

What to expect from an ideal product

  1. Encrypts sensitive data locally before it reaches AI language models
  2. Acts as a security middleman between your system and AI services
  3. Keeps private information hidden while still allowing AI to process requests
  4. Updates automatically with new security threats and protection methods
  5. Filters out sensitive data from AI responses before they reach users

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