About
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
Presenters
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Jared Harris
Webinar Host
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Matthew Brahms
Platform Engineer - Xint by Theori
As a Platform Engineer, Matthew builds scalable, resilient systems and works to instill DevOps culture into the teams he embeds with (SLI, SLO, SLA, anyone?!). Previous roles have included DevOps Engineer, Linux Systems Administrator, and Site Reliability Engineer — oh, and professional Classical musician. Originally from Columbus, OH, Matthew holds degrees from The Ohio State University and Carnegie Mellon University. He currently lives in Austin, TX, where he enjoys working with cloud native technologies in the age of AI. Outside of work, you'll find him spending time with his family, training for a marathon, eating a whole-food plant-based diet, and talking or listening to all things Classical music.
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Kim Parker