Open Source Red Teaming: PyRIT by Microsoft

Open Source Red Teaming: PyRIT by Microsoft

From AI Safety - Paper Digest by Arian Abbasi, Alan Aqrawi

October 8, 2024 · 11 min · Season 1 · Episode 5

About this episode

This episode discusses PyRIT, an open-source toolkit by Microsoft for enhancing security in generative AI systems.

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.

People in this episode

Hosts: Arian Abbasi, Alan Aqrawi

Topics covered

  • open source
  • red teaming
  • AI security
  • generative AI
  • risk identification

Keywords

  • PyRIT
  • Microsoft
  • red teaming
  • AI security
  • generative AI
  • risk identification
  • open source

Mentioned in this episode

Organizations: Microsoft

Books & works: PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems

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