PyRIT

At a glance

• Editor score
  7.7 / 10
• Pricing
  Open source
• Best for
  Red teams running configurable AI attacks
• Paid from
  Free
• Deployment options
  Both
• Facts checked
  20 Sep 2026

• Where it wins

  • Automates scenario-based AI security assessments and red-team attacks
  • Supports prompt transformations, configurable targets, and custom scoring
  • Offers CLI, browser, Docker, Python, and Azure deployment options

• Where it doesn't

  • Requires technical deployment through Python, Docker, CLI, or Azure
  • An open-source framework rather than a hosted commercial SaaS product
  • Its configurable attack and scoring model may require security expertise

Our verdict on PyRIT

PyRIT, the Python Risk Identification Tool for generative AI, is an open-source framework from Microsoft AI Red Team. It is designed for security professionals and engineers assessing the robustness of AI systems through automated red-team attacks, configurable scenarios, prompt converters, targets, datasets, and scorers. The project supports web, API, and self-hosted use, with a browser-based CoPyRIT interface alongside command-line and local Python workflows.

Its ecosystem fit is a central strength. PyRIT supports targets and services including OpenAI, Azure OpenAI, Azure Machine Learning, Azure AI Content Safety, Ollama, Groq, and Hugging Face. Deployment options include CLI, Docker, local Python, and Azure, giving teams several ways to align the tool with their existing infrastructure. The category specifications also identify CI/CD integration, custom metrics, LLM judging, and safety evaluations as supported capabilities. This makes PyRIT suitable for teams that need configurable assessments across different model endpoints rather than a single fixed evaluation path.

The standout area is its attack and scoring depth. Scenario-based execution can combine prompt converters for encoding, obfuscation, translation, and multimodal transformations with configurable prompt targets. Results can be evaluated with Boolean or float-scale scoring, LLM-backed scorers, Azure AI Content Safety, custom scoring logic, and human-labeled scorer evaluation datasets and metrics. PyRIT is a strong fit for technical red teams that want control over attack design, deployment, and evaluation. Teams seeking a fully hosted commercial SaaS workflow should choose a different type of tool.

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PyRIT pricing

PyRIT fact sheet

PyRIT integrations

PyRIT lists 7 integrations on its own site.

• OpenAI
• Azure OpenAI
• Azure Machine Learning
• Azure AI Content Safety
• Ollama
• Groq
• Hugging Face

Alternatives to PyRIT

• DeepEvalA broad open-source toolkit for evaluating LLM apps, agents, RAG pipelines, and chatbots.9.4
• PromptfooA broad evaluation toolkit for teams that need testing, security scans, and CI/CD gates.9.3
• GalileoA mature evaluation platform spanning offline testing, production tracing, and runtime controls.9.1

See all PyRIT alternatives →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update