> For the complete documentation index, see [llms.txt](https://support.gitcoin.co/gitcoin-knowledge-base/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.gitcoin.co/gitcoin-knowledge-base/about-gitcoin/policy/active-defense-measures/sybil-detection-by-machine-learning.md).

# Sybil Detection by Machine Learning

#### Machine Learning Flagging & Community Review Process

**Our Machine Learning Flagging & Community Review Process is designed to prevent sybil attacks.**

In addition to the proactive measures above, we have been working with BlockScience on a reactive machine learning pipeline that gives a score to each contribution, and informs the community stewards what contributions to look out for.

BlockScience [has been posting on the Gitcoin blog](https://gitcoin.co/blog) with details about what they’ve been working on, and will be posting a blog post about this pipeline as it develops.

![](https://lh6.googleusercontent.com/_r_g5FwYX7lAXWhNV-9J4ipalDvjmIrIzpfZeuAApUhlLoI5QJwHGKzhmYUEYvAyiEGk_uSkeOfeDhWaxVz9CEg5Rox23UIiWo6lszwRYciXOd6g1cuutwuoN3oQLUuVgEVk5LU)