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:
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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:
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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:
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Randomness, 50 Shades of Grey, Deepseek, Sonicwall, Spice Weasels, CaptiveCrunch, eBay, Aaran Leyland, and More on the Security Weekly News. Show Notes:
info_outlineSecurity Weekly Podcast Network (Video)
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...
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Interview with Andrew Dunbar, CISO at Shopify After 13 years at Shopify, Andrew has some valuable insights to share on application security. In this episode, we discuss how AI has changed application security processes where bug bounty now fits in a post-Mythos, post-AI harness world. Andrew's Resources: Interview with Kern Smith Kern Smith, VP of Global Solutions at Zimperium, joins us to talk about the state of mobile security. This was a great conversation, talking about the history of mobile devices in the enterprise and how challenging securing mobile apps is in the age of vibe-coding....
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Rogue AI, the Bar, Breaches, BMC, More Hugging Face, Helmuth von Multke, Ike, Shieldfont, and More on this episode of the Security Weekly News. Show Notes:
info_outlineSecurity Weekly Podcast Network (Video)
In the security news: 2.2 million cars, one shared Bluetooth key JFrog tries to spin an AI 0-day into a win Sextortion scammers recycling ShinyHunters' leaks The first hack ever, from 1966 Prompt injection as a service, $150 a month Cisco's mystery "static credential" BMCs still on the internet, still handing out hashes Scattered Spider duo sentenced over the TfL hack Air-gapped data sneaking out over the video cable A ghost in the network DNS poisoning checks into hotel WiFi Microsoft's cut-rate cybersecurity AI Learning to trust USB drives again Agentic pentesting shows up just in time for...
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Since the pandemic, managing remote teams have been challenging. How do you measure performance and motivate teams when they are remote? Charles Gaudet, CEO & Founder at Predictable Profits, joins Business Security Weekly to discuss why transparency is the key to team motivation for remote workers. Charles will discuss how culture and performance metrics create that transparency. He will also discuss how to motivate your team based on their personality type. Segment 1 Resources: Find all of CyberRisk TV's Black Hat 2026 coverage at: Show Notes:
info_outlineSecurity Weekly Podcast Network (Video)
Deep Fakes, Molten Salt, PLCS, Checkpoint, Hugging Face, CENTOS, Josh Marpet, and More on the Security Weekly News. Show Notes:
info_outlineWhile LLMs and agents are new to appsec and everyone else, a lot of AI security requirements translate to well-known API security requirements. Jeremy Snyder helps us frame the OWASP LLM Top 10 into five layers in order to help orgs understand and prioritize their attack surface. A lot of orgs don't have to deal with model-specific threats or building their own GPU architecture, but every org adopting LLMs and agents should be aware of how those agents are being invoked and the output those agents are producing. That awareness of input and output helps in identifying and mitigating prompt injection attacks, ensuring agents are working within their expected boundaries, and taming token budgets.
Resources:
- https://genai.owasp.org/llm-top-10/
- https://github.com/rtk-ai/rtk
- https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html
- https://www.firetail.ai/blog/beyond-the-spectacle-rsac-2026-and-the-5-layers-of-ai-security
Show Notes: https://securityweekly.com/asw-391