Bolor-Erdene Jagdagdorj, Microsoft AI Red Team
Generative AI (GenAI) is rapidly transforming industries, from healthcare to military defense. However, as these systems become more powerful, they introduce increasingly complex risks, safety concerns, and ethical challenges. Many of these risks are novel and evolving, requiring flexible and proactive strategies to address them.
AI Red Teaming is a critical approach for uncovering these emerging threats, but manual testing alone cannot keep pace with GenAI's rapid development. Automation is essential for scalable, efficient, and adaptive red teaming efforts. In this talk, I will cover the fundamentals of AI Red Teaming, demonstrate how automated attacks can help identify ethical and security risks at scale, and explore how open-source AI red teaming tools are making these techniques more accessible. By proactively identifying vulnerabilities before AI systems are deployed, we can work together toward a safer and more ethical AI future.
Bolor-Erdene Jagdagdorj is a member of the AI Red Team at Microsoft and she is deeply passionate about ethical technology. Bolor earned a Master of Science degree in Information Security and Information Technology from Carnegie Mellon University. Previously at Allstate, Bolor played a pivotal role in leading automation efforts for global security, developing automated methods to better detect and respond to security incidents. She earned her Bachelor of Arts degree from Bowdoin College, double majoring in Computer Science and Chemistry with a concentration in Neuroscience, and minoring in East Asian Studies.
