Security Weekly Podcast Network (Video)

Sci-Fi, PKD, Greatness, Passkeys, AgentBreaker, Rockwell, Flock, Doug is very dark, Josh Marpet, and More on this episode of the Security Weekly News.
Show Notes: https://securityweekly.com/swn-605

This week:
When you are not at summer camp you can't read about it
The Fettle continues
Using the CFAA against AI
Social contracts are not security models
VSCode extentions, again
Bugtraq is back!
NVIDA, LVFS, and unraveling AI infrastructure
More routers that come with backdoors
Do we care about LPE?
Even more AI that finds vulnerabilities
When AI breaks its own guardtails
Show Notes: https://securityweekly.com/psw-938

This week, we air our thirteenth pre-recorded segment called "Say Easy, Do Hard". Inspired by my co-host, Jason Albuquerque, we discuss "Performance Through People". Greg Hoffman joined us a few weeks back to discuss his new book. This week, we dig into his five disciplines of Performance Through People and do the hard part.
Show Notes: https://securityweekly.com/bsw-459

Randomness, 50 Shades of Grey, Deepseek, Sonicwall, Spice Weasels, CaptiveCrunch, eBay, Aaran Leyland, and More on the Security Weekly News.
Show Notes: https://securityweekly.com/swn-604

There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln.
The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration.
Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat.
Show Notes: https://securityweekly.com/asw-394