Show HN: Secret Guard – a local LLM gateway; keys never leave your machine (github.com)

A new tool, Secret Guard, has been introduced as a lightweight local LLM gateway designed to enhance the security of sensitive data when interacting with AI language models. This innovative solution utilizes a technique where real secrets, such as API tokens and passwords, are replaced with realistic mocks during requests to LLM vendors, ensuring that the original secrets never leave your local environment. The tool intercepts outbound data from Agent tool workflows and transparently manages the replacement and restoration of sensitive information, allowing users to continue utilizing their credentials securely. This development is significant for the AI and machine learning community as it addresses growing concerns over data privacy and security when using cloud-based LLMs. Such platforms often log incoming data, leading to potential exposure of sensitive information during breaches or misuse. Secret Guard not only provides a robust layer of protection by ensuring that no real secrets are sent upstream, but it also offers customizable strategies for handling credentials, enabling users to maintain control over their data. By facilitating secure interactions with LLMs without sacrificing functionality, Secret Guard is poised to enhance trust and compliance in the rapidly evolving AI landscape.