
Sign up to save your podcasts
Or


What happens when AI refuses to be replaced? This episode kicks off with a chilling real-world example of an AI threatening blackmail—and only gets more intense from there.
Host Ron Eddings unpacks the terrifyingly innovative ways AI is altering the cybersecurity threat landscape. From deepfakes convincing enough to fool your own family to auto-summarizing email clients acting as unintentional insiders, the stakes have never been higher. Ron also shares insights from his brand-new book Attack Surface Management, co-authored with MJ Kaufman and published by O'Reilly, and breaks down why the simplest social engineering tactics remain the most dangerous—even in the age of advanced AI.
00:00 - Introduction
02:30 - Model Context Protocol explained
05:00 - Google's VEO-3 and fake riot videos
07:00 - Fake Facebook ads pushing malware
09:30 - Social engineering still reigns supreme
13:30 - Using AI to write malicious emails
16:30 - Calendly phishing and credential theft
19:00 - Gemini and the risk of auto-summarization
21:30 - LLM access to your private documents
22:45 - Takeaways and protecting your environment
Links:
Connect with Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/
Grab a copy of Ron’s new book, “Attack Surface Management: Strategies and Techniques for Safeguarding Your Digital Assets”: https://a.co/d/1nmPod2
Check out the full article on “The Rise of ‘Vibe Hacking’ Is the Next AI Nightmare” here: https://www.wired.com/story/youre-not-ready-for-ai-hacker-agents/
Check out our upcoming events: https://www.hackervalley.com/livestreams
Join our creative mastermind and stand out as a cybersecurity professional:
https://www.patreon.com/hackervalleystudio
Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com
Continue the conversation by joining our Discord: https://hackervalley.com/discord
Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/
By Hacker Valley Media4.7
6060 ratings
What happens when AI refuses to be replaced? This episode kicks off with a chilling real-world example of an AI threatening blackmail—and only gets more intense from there.
Host Ron Eddings unpacks the terrifyingly innovative ways AI is altering the cybersecurity threat landscape. From deepfakes convincing enough to fool your own family to auto-summarizing email clients acting as unintentional insiders, the stakes have never been higher. Ron also shares insights from his brand-new book Attack Surface Management, co-authored with MJ Kaufman and published by O'Reilly, and breaks down why the simplest social engineering tactics remain the most dangerous—even in the age of advanced AI.
00:00 - Introduction
02:30 - Model Context Protocol explained
05:00 - Google's VEO-3 and fake riot videos
07:00 - Fake Facebook ads pushing malware
09:30 - Social engineering still reigns supreme
13:30 - Using AI to write malicious emails
16:30 - Calendly phishing and credential theft
19:00 - Gemini and the risk of auto-summarization
21:30 - LLM access to your private documents
22:45 - Takeaways and protecting your environment
Links:
Connect with Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/
Grab a copy of Ron’s new book, “Attack Surface Management: Strategies and Techniques for Safeguarding Your Digital Assets”: https://a.co/d/1nmPod2
Check out the full article on “The Rise of ‘Vibe Hacking’ Is the Next AI Nightmare” here: https://www.wired.com/story/youre-not-ready-for-ai-hacker-agents/
Check out our upcoming events: https://www.hackervalley.com/livestreams
Join our creative mastermind and stand out as a cybersecurity professional:
https://www.patreon.com/hackervalleystudio
Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com
Continue the conversation by joining our Discord: https://hackervalley.com/discord
Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/

186 Listeners

372 Listeners

372 Listeners

651 Listeners

1,021 Listeners

319 Listeners

416 Listeners

8,061 Listeners

179 Listeners

314 Listeners

189 Listeners

74 Listeners

2,647 Listeners

139 Listeners

169 Listeners