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PyRIT

PyRIT is a free, open-source framework for security professionals and engineers evaluating risks in generative AI systems.

Place
#13 of 29
Score
6.1
PyRIT's website

What PyRIT is

PyRIT is a free, open-source framework for security professionals and engineers evaluating risks in generative AI systems. It supports single-turn and multi-turn red-team strategies, including Crescendo, TAP, and Skeleton Key, and repeatable scenario evaluations across hundreds of objectives such as content harms, psychosocial risks, and data leakage. CoPyRIT provides a web interface for interacting with AI systems, tracking findings, and collaborating with a team. Documented targets include OpenAI, Azure, Anthropic, Google, HuggingFace, custom HTTP endpoints and WebSockets, and web apps tested with Playwright. PyRIT can store conversations, scores, and attack results in SQLite or Azure SQL, and export results. Scoring supports true/false, Likert scale, classification, and custom scorers, including LLM-based and Azure AI Content Safety scoring. The documentation describes Scanner, GUI, and Framework modes, including command-line assessment via pyrit_scan and pyrit_shell. It can be installed with Docker or locally using pip or uv; local installation documentation recommends Python 3.13. The project is MIT licensed.

Good

  • Supports single-turn and multi-turn attack strategies.
  • Provides repeatable evaluations across hundreds of objectives.
  • Offers a web interface for team collaboration.
  • Stores and exports assessment results.
  • Free and MIT licensed.

Watch out

  • Local installation documentation recommends Python 3.13.
  • Support is limited to listed resources.
  • Vulnerability reports should not go through public GitHub issues.

Who it suits

PyRIT suits security professionals and engineers assessing generative AI risks. Its scenario evaluations and team-oriented web interface may fit repeatable or collaborative red-team work.

Verdict

PyRIT offers multiple assessment modes, target types, scoring approaches, and storage options as a free framework. Users should follow its stated security-reporting route and account for its limited support resources.

Plans and prices

From PyRIT's own pricing page, checked 8 Oct 2026.

All about pricing
PlanPriceWhat it gives you
PyRITFreeOpen-source framework · install from PyPI or Docker

The facts

Each one read from PyRIT's own pages, with the date it was checked.

What it does

Human-led interface
CoPyRIT provides a web interface for interacting with AI systems, tracking findings, and collaborating with a team.checked 8 Oct 2026
Installation
The project documents user installation through Docker or locally with pip or uv, plus contributor Docker and local installation options.checked 8 Oct 2026
License
The GitHub repository identifies PyRIT as MIT licensed.checked 8 Oct 2026
Memory
PyRIT can store conversations, scores, and attack results in SQLite or Azure SQL, and supports exporting results.checked 8 Oct 2026
Purpose
PyRIT is an open-source framework for security professionals and engineers to identify risks in generative AI systems.checked 8 Oct 2026
Python compatibility
The current documentation recommends Python 3.13 for local installation.checked 8 Oct 2026
Scenario evaluations
Its scenario framework supports repeatable evaluations across hundreds of objectives, including content harms, psychosocial risks, and data leakage.checked 8 Oct 2026
Scoring
Response scoring supports true/false, Likert scale, classification, and custom scorers, including LLM-based and Azure AI Content Safety scoring.checked 8 Oct 2026
Security reporting
The documentation directs vulnerability reports to the Microsoft Security Response Center and says not to report them through public GitHub issues.checked 8 Oct 2026
Support
The project uses GitHub Issues for bugs, feature requests, and questions, and says support is limited to the resources it lists.checked 8 Oct 2026
Targets
Documented targets include OpenAI, Azure, Anthropic, Google, HuggingFace, custom HTTP endpoints and WebSockets, and web apps tested with Playwright.checked 8 Oct 2026
Ways to use
The documentation describes Scanner, GUI, and Framework modes, including command-line assessment through pyrit_scan and pyrit_shell.checked 8 Oct 2026

The company

Red teaming
It supports single-turn and multi-turn attack strategies, including Crescendo, TAP, and Skeleton Key.checked 8 Oct 2026

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