About
Microsoft PyRIT is an open source Python framework developed by Microsoft Azure to empower security professionals, AI engineers, and red teamers to proactively identify and assess risks in generative AI systems. As generative AI becomes increasingly embedded in enterprise applications, understanding and mitigating safety, reliability, and security risks is critical — PyRIT provides the tooling to do exactly that. PyRIT enables users to systematically probe generative AI models and pipelines for weaknesses, including prompt injection vulnerabilities, harmful content generation, jailbreaks, and other adversarial risks. It supports automated red-teaming workflows, allowing teams to scale security evaluations beyond what manual testing alone can achieve. The framework is built on Python, making it easily extensible and integrable into existing ML/security pipelines. It supports a variety of attack strategies and risk categories aligned with responsible AI principles, and is actively used by AI safety researchers and enterprise security teams alike. Key audiences include AI/ML security engineers, red team professionals, enterprise AI governance teams, and researchers studying generative AI safety. PyRIT was originally hosted under the Azure GitHub organization and has since moved to the Microsoft GitHub organization. The project is MIT-licensed and open source, with documentation hosted at microsoft.github.io/PyRIT.
Key Features
- Automated AI Red-Teaming: Automates adversarial probing of generative AI systems to surface vulnerabilities at scale, beyond what manual testing can achieve.
- Risk Identification Framework: Provides structured workflows for identifying safety, security, and reliability risks across a broad range of generative AI threat categories.
- Extensible Python Library: Built in Python for easy integration into existing ML pipelines, security workflows, and CI/CD systems.
- Responsible AI Alignment: Designed around Microsoft's responsible AI principles, covering risks like harmful content generation, prompt injection, and jailbreaks.
- Open Source & Community-Driven: MIT-licensed and maintained by Microsoft, with full documentation and an active open source community.
Use Cases
- Red-teaming enterprise generative AI applications to discover prompt injection and jailbreak vulnerabilities before deployment.
- Automating safety evaluations of large language models as part of a responsible AI review process.
- Integrating AI risk assessments into CI/CD pipelines to continuously monitor model behavior for regressions.
- Conducting structured risk assessments of third-party AI APIs used in internal business applications.
- Supporting AI governance and compliance workflows by generating documented evidence of security testing for generative AI systems.
Pros
- Backed by Microsoft: Developed and maintained by Microsoft, giving it credibility, enterprise-grade design, and ongoing support through the responsible AI team.
- Fully Open Source: MIT license means free use, modification, and integration into any security toolchain without cost or vendor lock-in.
- Scalable Automated Testing: Automates red-teaming at scale, enabling thorough risk assessments that would be impractical to conduct manually.
Cons
- Developer-Focused: Requires Python proficiency and AI/security domain knowledge — not accessible to non-technical users or those without a red-teaming background.
- Repository Archived: The original Azure/PyRIT repository has been archived and is read-only; users must migrate to the new microsoft/PyRIT repository to get updates.
- Narrow Use Case: Specifically scoped to generative AI risk identification — not a general-purpose security testing or application monitoring tool.
Frequently Asked Questions
What is Microsoft PyRIT?
PyRIT (Python Risk Identification Tool for generative AI) is an open source Python framework by Microsoft that helps security professionals and AI engineers proactively identify risks in generative AI systems through automated red-teaming.
Is PyRIT free to use?
Yes. PyRIT is fully open source and released under the MIT license, meaning it is free to use, modify, and distribute.
Where is the active PyRIT repository?
The original Azure/PyRIT repository has been archived. The active, up-to-date repository is now at https://github.com/microsoft/PyRIT.
Who is PyRIT designed for?
PyRIT is designed for AI security engineers, red team professionals, ML researchers, and enterprise AI governance teams who need to assess and mitigate risks in generative AI applications.
What kinds of risks does PyRIT help identify?
PyRIT helps identify risks such as prompt injection vulnerabilities, jailbreaks, harmful or unsafe content generation, and other adversarial threats specific to generative AI systems.
