Key Takeaways:

1. Not all bugs are created equal: how to assess the severity and real-world likelihood of an exploit using AI

2. The strengths and weaknesses of traditional AppSec approaches and how AI can address those shortcomings

3. How to use an AI to find complex vulnerabilities that used to be missed by human pentesters and autonomous code scanners