Both listings are open-source test tooling. Dioptra’s cited README names the NIST AI RMF Measure function. PyRIT’s cited docs name automated and human-led generative-AI red teaming. This page is not a score.
Built only from the cited fields already on NIST Dioptra and PyRIT. Not a ranking, certification or recommendation. Public summary columns stay on this page. Quoted evidence, who-it-is-for, deployment, caveats and coverage-cell quotes are Pro.
| Field | NIST Dioptra | PyRIT |
|---|---|---|
| Vendor / publisher | NIST | Microsoft AI Red Team |
| Type | Open source · AI assurance & verification | Open source · AI assurance & verification |
| Official site | https://pages.nist.gov/dioptra/ | https://microsoft.github.io/PyRIT/latest/ |
| Industries (cited page) | Cross-industry | Cross-industry |
| Frameworks named on cited source | NIST AI RMF | None tagged |
| Open source (OSI license on official repo) | Not an OSI-licensed official repo on this listing | Open source · MIT |
| Summary (from listing) | NIST test platform (docs and release 1.2.1) for assessing trustworthy characteristics of AI models. The official README says it supports the Measure function of the NIST AI RMF. Docker images for nginx, MLflow, REST API and CPU workers. Public source under CC BY 4.0. | Microsoft AI Red Team framework for automated and human-led generative-AI red teaming. Python 3.13 recommended; pip install pyrit. Ships Crescendo, TAP and Skeleton Key, CoPyRIT GUI, pyrit_scan/pyrit_shell, and SQLite or Azure SQL memory. MIT-licensed. |
| Last verified | 2026-10-14 | 2026-10-14 |
| Cited coverage (counts only) | Maps to 1 NIST AI RMF function or subcategory — see which with Pro | No cited coverage cells in this bundle |
| Analyst assessments (counts only) | Analyst assessment: 1 NIST AI RMF function or subcategory — see which with Pro | Analyst assessment: 1 NIST AI RMF function or subcategory — see which with Pro |
Included on Pro, Team and Enterprise. Public summaries, tags and official links on this page stay free.
No. The cited Dioptra README says the platform supports the Measure function of the NIST AI RMF. That is the only RMF function tagged from that page.
Not from the cited Microsoft AI Red Team pages in this directory. The listing records Python packaging, attack techniques (Crescendo, TAP, Skeleton Key) and MIT licensing, not a framework tag.
No. The table repeats vendor and publisher fields already on each listing. Quoted evidence and coverage cells are Pro.
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