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#57 The AI Security Threat No One Sees Coming ft. Dino Dunn

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Manage episode 500758474 series 3583577
Content provided by Kyser Clark - Cybersecurity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyser Clark - Cybersecurity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The Hacker’s Cache, Kyser Clark sits down with Dino Dunn, an AI security professional and cybersecurity instructor, to uncover the hidden risks most organizations overlook when adopting large language models and AI tools. From overlooked governance issues to the dangers of Retrieval Augmented Generation (RAG) and even how compromised AI preferences could enable stealthy breaches, Dino breaks down real-world attack scenarios and shares practical advice for staying ahead of emerging threats. Whether you’re a security professional, developer, or just curious about the future of AI, this conversation reveals the AI blindspot you can’t afford to ignore.

Connect with Dino Dunn on LinkedIn: https://www.linkedin.com/in/dino-dunn-cyber/

Connect
---------------------------------------------------
https://www.KyserClark.com
https://www.KyserClark.com/Newsletter
https://youtube.com/KyserClark
https://www.linkedin.com/in/KyserClark
https://www.twitter.com/KyserClark
https://www.instagram/KyserClark
https://facebook.com/CyberKyser
https://twitch.tv/KyserClark_Cybersecurity
https://www.tiktok.com/@kyserclark
https://discord.gg/ZPQYdBV9YY
Music by Karl Casey @ White Bat Audio
Attention Listeners: This content is strictly for educational purposes, emphasizing ETHICAL and LEGAL hacking only. I do not, and will NEVER, condone the act of illegally hacking into computer systems and networks for any reason. My goal is to foster cybersecurity awareness and responsible digital behavior. Please behave responsibly and adhere to legal and ethical standards in your use of this information.
Opinions are my own and may not represent the positions of my employer.

  continue reading

Chapters

1. Introduction (00:00:00)

2. AI Learning Resources (00:02:16)

3. Security Mad Libs (00:05:06)

4. Most Painful Bug We've Dealt With (00:10:02)

5. Real-World Impact of LLM C2s (00:14:54)

6. Where Most Security Teams Are Failing in AI Stack Coverage (00:21:13)

7. Using AI Day-to-Day & Privacy in the AI Age (00:26:38)

8. Final Wisdom (00:35:27)

58 episodes

Artwork
iconShare
 
Manage episode 500758474 series 3583577
Content provided by Kyser Clark - Cybersecurity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyser Clark - Cybersecurity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The Hacker’s Cache, Kyser Clark sits down with Dino Dunn, an AI security professional and cybersecurity instructor, to uncover the hidden risks most organizations overlook when adopting large language models and AI tools. From overlooked governance issues to the dangers of Retrieval Augmented Generation (RAG) and even how compromised AI preferences could enable stealthy breaches, Dino breaks down real-world attack scenarios and shares practical advice for staying ahead of emerging threats. Whether you’re a security professional, developer, or just curious about the future of AI, this conversation reveals the AI blindspot you can’t afford to ignore.

Connect with Dino Dunn on LinkedIn: https://www.linkedin.com/in/dino-dunn-cyber/

Connect
---------------------------------------------------
https://www.KyserClark.com
https://www.KyserClark.com/Newsletter
https://youtube.com/KyserClark
https://www.linkedin.com/in/KyserClark
https://www.twitter.com/KyserClark
https://www.instagram/KyserClark
https://facebook.com/CyberKyser
https://twitch.tv/KyserClark_Cybersecurity
https://www.tiktok.com/@kyserclark
https://discord.gg/ZPQYdBV9YY
Music by Karl Casey @ White Bat Audio
Attention Listeners: This content is strictly for educational purposes, emphasizing ETHICAL and LEGAL hacking only. I do not, and will NEVER, condone the act of illegally hacking into computer systems and networks for any reason. My goal is to foster cybersecurity awareness and responsible digital behavior. Please behave responsibly and adhere to legal and ethical standards in your use of this information.
Opinions are my own and may not represent the positions of my employer.

  continue reading

Chapters

1. Introduction (00:00:00)

2. AI Learning Resources (00:02:16)

3. Security Mad Libs (00:05:06)

4. Most Painful Bug We've Dealt With (00:10:02)

5. Real-World Impact of LLM C2s (00:14:54)

6. Where Most Security Teams Are Failing in AI Stack Coverage (00:21:13)

7. Using AI Day-to-Day & Privacy in the AI Age (00:26:38)

8. Final Wisdom (00:35:27)

58 episodes

All episodes

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