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.
- Review our security policy to report vulnerabilities privately through the Microsoft Security Response Center.
- Visit our Discord server to chat with the team and community.
Trademarks and Citations
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.
If you use PyRIT in your research, please cite the tool itself following the CITATION.cff file in the root of this repository.
12 maintainers
Metadata
12 maintainers
Release files for pyrit 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyrit-1.1.0.tar.gz | 9.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyrit-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.0 MB
Release files / pyrit-1.1.0.tar.gz
| Download URL | pyrit-1.1.0.tar.gz |
|---|---|
| Size | 9.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.12
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Release files / pyrit-1.1.0-py3-none-any.whl
| Download URL | pyrit-1.1.0-py3-none-any.whl |
|---|---|
| Size | 10.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.12
|
