Tech riderRev. 30 Sept 2026
- 1Runs onAPI, Linux, Mac, self-hosted, Web, Windows
- 2CostsFree plan
- 3Prompt injection testsYes
- 4Jailbreak testsYes
- 5Data leakage testsYes
- 6Unsafe output testsYes
- 7Custom test casesYes
- 8Deployment modeself hosted
8 lines stated Written from the maker's own pages: azure.github.io, microsoft.github.io

Overview
PyRIT is ranked #7 of 29 in AI security testing tools on Specifiction. It runs on API, Linux, macOS, Self-hosted, Web, Windows. There is a free plan.
PyRIT plans and pricing
All plansPyRIT Free Open-source framework · requires a Python environment and configured AI endpoints microsoft.github.io · 30 Sept 2026
Compared on AI security testing tools
- Free plan
- Yesazure.github.io
- Prompt injection tests
- Yesazure.github.io
- Jailbreak tests
- Yesazure.github.io
- Data leakage tests
- Yesazure.github.io
- Unsafe output tests
- Yesazure.github.io
- Custom test cases
- Yesazure.github.io
- Deployment mode
- self_hostedazure.github.io
Facts
- Purpose
- PyRIT is an open-source framework for automated and human-led red teaming to assess the security and safety of generative AI systems.microsoft.github.io · 30 Sept 2026
- Attack strategies
- It supports single-turn and multi-turn strategies including Crescendo, TAP, and Skeleton Key.microsoft.github.io · 30 Sept 2026
- Scenarios
- Its scenarios package attack strategies and datasets for repeatable assessments of content harms, psychosocial risks, data leakage, and other objectives.microsoft.github.io · 30 Sept 2026
- Interfaces
- Users can run assessments with the command-line scanner and interactive shell, use the CoPyRIT graphical interface, or build workflows with the framework.microsoft.github.io · 30 Sept 2026
- Targets
- Documented targets include OpenAI, Azure, Anthropic, Google, Hugging Face, custom HTTP endpoints and WebSockets, and web apps tested with Playwright.microsoft.github.io · 30 Sept 2026
- Components
- The modular framework includes targets, converters, scorers, memory, datasets, attacks, and scenarios.microsoft.github.io · 30 Sept 2026
- Prompt conversion
- Converters transform prompts through text operations such as encoding, obfuscation, translation, and semantic changes, as well as conversions among text, images, audio, video, and files.microsoft.github.io · 30 Sept 2026
- Scoring
- Scorers can return true/false or normalized 0.0–1.0 scores and can use LLMs, Azure AI Content Safety, or custom logic.microsoft.github.io · 30 Sept 2026
- Memory
- Built-in memory can track conversations, scores, and attack results using SQLite or Azure SQL.microsoft.github.io · 30 Sept 2026
- Security
- PyRIT recommends Azure Key Vault for shared or deployed configuration and warns that plaintext .env files are less secure.microsoft.github.io · 30 Sept 2026
- Credential handling
- In CoPyRIT, an API key entered when creating a target is stored in memory only and is not persisted to disk.microsoft.github.io · 30 Sept 2026
- Installation
- The documentation provides local installation with pip or uv and separate Docker installation options.microsoft.github.io · 30 Sept 2026
- Compatibility limit
- The local installation page lists Python 3.10 through 3.14 as prerequisites, and the contributor setup page requires Node.js 22 or higher for the frontend.microsoft.github.io · 30 Sept 2026
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Where it ranks on Specifiction
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Sources
- microsoft.github.io/PyRIT/latest/· checked 30 Sept 2026
- microsoft.github.io/PyRIT/latest/code/framework/· checked 30 Sept 2026
- microsoft.github.io/PyRIT/latest/code/converters/converters· checked 30 Sept 2026
- microsoft.github.io/PyRIT/latest/getting-started/pyrit-conf· checked 30 Sept 2026
- microsoft.github.io/PyRIT/latest/gui/gui/· checked 30 Sept 2026
- microsoft.github.io/PyRIT/latest/getting-started/install-lo· checked 30 Sept 2026


