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Open Source Red Teaming: PyRIT by Microsoft
In this episode, we dive into PyRIT, the open-source toolkit developed by Microsoft for red teaming and security risk identification in generative AI systems. PyRIT offers a model-agnostic framework that enables red teamers to detect novel risks, harms, and jailbreaks in both single- and multi-modal AI models. We’ll explore how this cutting-edge tool is shaping the future of AI security and its practical applications in securing generative AI against emerging threats.
Paper (preprint): Lopez Munoz, Gary D., et al. "PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems." (2024). arXiv.
Disclaimer: This podcast summary was generated using Google's NotebookLM AI. While the summary aims to provide an overview, it is recommended to refer to the original research preprint for a comprehensive understanding of the study and its findings.
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By Arian Abbasi, Alan AqrawiIn this episode, we dive into PyRIT, the open-source toolkit developed by Microsoft for red teaming and security risk identification in generative AI systems. PyRIT offers a model-agnostic framework that enables red teamers to detect novel risks, harms, and jailbreaks in both single- and multi-modal AI models. We’ll explore how this cutting-edge tool is shaping the future of AI security and its practical applications in securing generative AI against emerging threats.
Paper (preprint): Lopez Munoz, Gary D., et al. "PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems." (2024). arXiv.
Disclaimer: This podcast summary was generated using Google's NotebookLM AI. While the summary aims to provide an overview, it is recommended to refer to the original research preprint for a comprehensive understanding of the study and its findings.