Skip to main content

The Python Risk Identification Tool for LLMs (PyRIT) is a library used to assess the robustness of LLMs

Project description

Python Risk Identification Tool for generative AI (PyRIT)

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

  • Check out our website for more information about how to use, install, or contribute to PyRIT.
  • Visit our Discord server to chat with the team and community.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Citing PyRIT

If you use PyRIT in your research, please cite our preprint paper as follows:

@misc{munoz2024pyritframeworksecurityrisk,
      title={PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems},
      author={Gary D. Lopez Munoz and Amanda J. Minnich and Roman Lutz and Richard Lundeen and Raja Sekhar Rao Dheekonda and Nina Chikanov and Bolor-Erdene Jagdagdorj and Martin Pouliot and Shiven Chawla and Whitney Maxwell and Blake Bullwinkel and Katherine Pratt and Joris de Gruyter and Charlotte Siska and Pete Bryan and Tori Westerhoff and Chang Kawaguchi and Christian Seifert and Ram Shankar Siva Kumar and Yonatan Zunger},
      year={2024},
      eprint={2410.02828},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2410.02828},
}

Additionally, please cite the tool itself following the CITATION.cff file in the root of this repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrit-0.11.0.tar.gz (4.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrit-0.11.0-py3-none-any.whl (4.5 MB view details)

Uploaded Python 3

File details

Details for the file pyrit-0.11.0.tar.gz.

File metadata

  • Download URL: pyrit-0.11.0.tar.gz
  • Upload date:
  • Size: 4.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for pyrit-0.11.0.tar.gz
Algorithm Hash digest
SHA256 cf812b3e044d0eb8e2e748330844365a9fed7e5e8c6d78ed89d6a7114613adf3
MD5 1a66e7c8ead5652b6a33478193ab6552
BLAKE2b-256 c4aa8fe01cf7a6f8add3efad0b7be8748baea6923ba5a37fb5c0cbe530a867a6

See more details on using hashes here.

File details

Details for the file pyrit-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: pyrit-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for pyrit-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 abf8e3e1859352902f5d928c7b61e3b6047ecb8ae49c850e8cea3a7823a09d92
MD5 33dc4ab90e967ce242f82b9a0235693c
BLAKE2b-256 7870f6fdce0048c1f1d3bb35b0b6838de9ea73b8ebc7adfabaa01a63977fda68

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page