PyRIT
PyRIT: A flexible PyRIT toolkit for advanced, self-hosted generative-AI red teaming. Ranked #17 of 29 in AI Security Testing Tools by our editors (7.5/10); pricing: Free plan; best for researchers running advanced red-team experiments.
At a glance
- Editor score7.5 / 10
- PricingFree plan
- Best forResearchers running advanced red-team experiments
- Free planYes
- Paid fromFree
- Prompt injection testsYes
- Facts checked21 Sep 2026
Where it wins
- Automates single-turn and multi-turn generative-AI attack execution
- Supports multimodal converters, custom scorers, and evaluation datasets
- Connects with major model providers, HTTP, WebSockets, and web apps
Where it doesn't
- Self-hosted deployment can require engineering and environment management
- Verified platform coverage is limited to web applications
- Its breadth may exceed the needs of teams seeking a simple scanner
Our verdict on PyRIT
PyRIT, the Python Risk Identification Tool for generative AI, is an open-source framework for security professionals and engineers assessing generative-AI systems. It combines automated and human-led red teaming with attack strategies, scenarios, seed datasets, converters, targets, scorers, memory, and reporting. The command-line scanner, programmable Python framework, and local CoPyRIT graphical interface make it suitable for researchers running advanced experiments across model and application targets.
Its main strength is testing depth. PyRIT supports single-turn and multi-turn attack execution, including Crescendo, TAP, and Skeleton Key strategies. Prompt, audio, image, and video converters extend testing beyond text-only interactions, while true/false, Likert, classification, and custom scorers support different evaluation methods. Standardized scenarios and seed datasets help structure assessments, and SQLite or Azure SQL memory backends support stored testing context.
PyRIT also fits varied AI environments through connections to OpenAI, Microsoft Azure, Anthropic, Hugging Face, HTTP endpoints, WebSockets, and Playwright web applications. Its self-hosted deployment and open-source model suit teams that want programmable control over their testing workflows. However, the framework is a better match for researchers and engineering-led security programs than for buyers seeking a conventional hosted scanner with a guided workflow. Teams focused on web-based AI applications can use its platform integrations effectively; organizations needing broader verified platform coverage or a simpler out-of-the-box experience should look elsewhere.
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PyRIT pricing
PyRIT fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Prompt injection tests | Yes |
| Jailbreak tests | Yes |
| Data leakage tests | Yes |
| Unsafe output tests | Yes |
| Custom test cases | Yes |
| Deployment mode | Self_hosted |
| Deployment | Self-hosted, Browser extension |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: OpenAI, Microsoft Azure, Anthropic, Hugging Face, HTTP endpoints, WebSockets … |
| Pricing | Free plan |
| Website | azure.github.io |
| Facts checked | 21 Sep 2026 |
PyRIT integrations
PyRIT lists 7 integrations on its own site.
- OpenAI
- Microsoft Azure
- Anthropic
- Hugging Face
- HTTP endpoints
- WebSockets
- Playwright web applications
Alternatives to PyRIT
- PromptGuardBroad AI security testing with flexible deployment and a low-cost paid entry tier.9.3
- Akto Agentic Red TeamingBroad AI security testing for enterprise agent and API security teams.9.1
- MindgardA broad AI risk platform spanning discovery, testing, protection, and remediation.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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