Microsoft\u2019s AI red team is excited to share our whitepaper, \u201cLessons from Red Teaming 100 Generative AI Products.\u201d The AI red team was formed in 2018 to address the growing landscape of AI safety and security risks. Since then, we have expanded the scope and scale of our work significantly. We are one of the first red teams in the industry to cover both security and responsible AI, and red teaming has become a key part of Microsoft\u2019s approach to generative AI product development. Red teaming is the first step in identifying potential harms and is followed by important initiatives at the company to measure, manage, and govern AI risk for our customers.<\/p>\n
Last year, we also announced PyRIT (The Python Risk Identification Tool for generative AI), an open-source toolkit to help researchers identify vulnerabilities in their own AI systems. As of October 2024, we have conducted more than 80 operations covering more than 100 products.<\/p>\n
Figure 1: Pie Chart Showing the Percentage Breakdown of Products Tested by the Microsoft AI Red Team<\/p>\n
Figure 1: Pie chart showing the percentage breakdown of products tested by the Microsoft AI red team. As of October 2024, we had red teamed more than 100 generative AI products.<\/p>\n
With a focus on our expanded mission, we have now red-teamed more than 100 generative AI products. Download our red teaming whitepaper to read more about what we\u2019ve learned. As we progress along our own continuous learning journey, we would welcome your feedback and hearing about your own AI red teaming experiences.<\/p>\n
Learn More with Microsoft Security<\/p>\n
To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.<\/p>\n
\u00b9 Phi-3 Safety Post-Training: Aligning Language Models with a \u201cBreak-Fix\u201d Cycle<\/a><\/p>\n