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

The Hacker's Cache

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/

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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.

فصول

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)