{"categories":[{"label":"Security","url":"https://skillfed.io/packages/category/security/3"}],"enrichment":{"capability":"PyRIT is a framework for security professionals to identify and assess risks in generative AI systems through automated testing and red-teaming capabilities.","skillfed_tags":["ai-security","red-teaming","llm-testing"],"use_cases":["Run automated red-team attacks against your LLM deployment to find prompt injection and jailbreak vulnerabilities before production","Assess the robustness of a generative AI system by testing it against a library of adversarial prompts and scenarios","Generate reports documenting AI safety and security findings for compliance or internal audit purposes","Integrate AI risk assessment into your CI/CD pipeline to catch regressions in model behavior across versions"],"what_it_does":"PyRIT is an open-source framework from Microsoft designed to help security teams systematically identify vulnerabilities and risks in generative AI systems. It provides orchestration tools to run red-teaming campaigns\u2014automated attempts to find failure modes, prompt injection vectors, and robustness issues\u2014against LLMs and other AI services. The framework abstracts away the mechanics of connecting to different AI providers (OpenAI, Azure, and others) and managing test scenarios, so you can focus on designing and running security assessments.\n\nThe package is built on a large dependency stack that includes cloud SDKs (Azure), document processing libraries (pypdf, python-docx), and AI frameworks (datasets, numpy, openai). It targets security professionals and engineers who need to validate AI system behavior before deployment, making it most useful in organizations running their own LLM services or evaluating third-party AI systems. The framework is actively maintained and supports modern Python versions.","worth_installing":"Yes, if you are responsible for security assessment of generative AI systems. PyRIT is actively maintained, carries no known vulnerabilities, uses a permissive MIT license, and has low install friction. The large dependency footprint is typical for AI frameworks and should not deter use in development or test environments. Install it if you need systematic red-teaming capabilities; skip it if you are not evaluating LLM security."},"id":"pyrit","links":{"html":"https://skillfed.io/packages/pyrit","md":"https://skillfed.io/packages/pyrit.md","pypi":"https://pypi.org/project/pyrit/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":"MIT","license_treatment":"permissive","name":"pyrit","python_support":"supports_current","summary":"The Python Risk Identification Tool for LLMs (PyRIT) is a library used to assess the robustness of LLMs"},"popularity":{"monthly_downloads":115960,"position":12229,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.1"}