Producing Secure Code by Leveraging AI – Stuart McClure – ASW #291
How can LLMs be valuable to developers as an assistant in finding and fixing insecure code? There are a lot of implications in trusting AI or LLMs to not only find vulns, but in producing code that fixes an underlying problem without changing an app's intended behavior. Stuart McClure explains how combining LLMs with agents and RAGs helps make AI-influenced tools more effective and useful in the context that developers need -- writing secure code.
Guest
Stuart has over 30 years of experience in all aspects of cybersecurity including engineering, product development, marketing, sales, customer success, and executive leadership including Global CTO for McAfee/Intel, starting Cylance and Foundstone as Founder/CEO/President/CTO and birthing the cybersecurity practices for both Kaiser Permanente and Ernst & Young. Stuart is the founding author of the #1 cyber security hacking book, Hacking Exposed, which empowers defenders to understand the hacker tools, techniques, and procedures to prevent cyber-attacks. Stuart earned his B.A. in Psychology and Philosophy with an emphasis in Computer Science from CU Boulder.
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