filterit

An Open Source monitoring cum security tool to keep your data data from public generative tools or services

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
3. Usage
4. Contributing
5. License
6. Contact

About The Project

There are many generative AI tools out there in the internet powered by open ai and many other llm services; however the security of your data at transit is a big question to all the users which is more important than the work getting done. This is where filterit comes into picture.

Here's why:

• It intercepts your specified request and removes all sensitive information from your prompt and other documents you send to the llm.
• It also replaces back to their original text in just seconds after the text generation.

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Built With

The project is created with:

• Interface for monitoring and managing

  • React JS
  • Tailwind CSS

• Server for extracting and replacing

  • Python
  • Spacy (NER)

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Getting Started

If your interested to run or deploy it in your system; follow the below steps

Prerequisites

• Install dependencies and run the interface

  npm install

• Install libraries and run the server

pip install -r /server/requirements.txt

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Usage

Create an account and then add your request endpoint to the app created, which is to be monitored adn intercepted for security.

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Hemaprakash Raghu - @imprakashraghu
Vignesh Natarajan - @vigneshn200

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