Explore a 12-minute conference talk from USENIX Security '24 that delves into ChatGPT's potential for vulnerability management in software systems. Learn about comprehensive research conducted by scholars from Zhejiang University, Hangzhou Dianzi University, University of Minnesota, and Ant Group who evaluated ChatGPT's performance across six different vulnerability management tasks using a dataset of over 70,000 samples. Discover the AI model's strengths in tasks like generating bug report titles, as well as its limitations and challenges when processing complex security-related information. Gain insights into the effectiveness of different prompting strategies, including the promising self-heuristic approach where ChatGPT extracts and applies expertise from demonstration examples. Understand the current challenges in guiding ChatGPT to focus on relevant information and the potential future directions for improving its application in security vulnerability management.