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.
Cloudflare's 2024 appsec report, reasoning about the Cyber Reasoning Systems for the upcoming AIxCC semifinals at DEF CON, lessons in secure design from post-quantum cryptography, and more!
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Show Notes: https://securityweekly.com/asw-291)
