
#608: Before You Deploy AI Agents, Understand These Attacks
Samstag, 19. September 2026 · 53 min
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How do you hack an AI system? And what happens when one malicious instruction spreads between AI agents?
I’m joined by Harriet, author of Practical AI Security, to explore how AI models and agents can be manipulated, with practical Python demonstrations. You'll see an image classifier misidentify a rifle, a demonstration of prompt injection spreading across five agents, and how memory poisoning can plant instructions that affect an agent later. We discuss why securing AI takes more than blocking prompt injection, how machine learning creates different security challenges, and what you need to understand before deploying agents in your organisation.
Want to learn this yourself? Harriet explains how to get started with her collection of 30+ free Python notebooks, including examples you can explore in Google Colab. We also discuss the skills involved in AI security and how people from different backgrounds can contribute.
Topics include:
• Adversarial machine learning and image manipulation
• Prompt injection and attacks spreading between agents
• Memory poisoning and model backdoors
• AI supply chain security
• Learning AI security with Python
• AI security careers, training and fundamentals
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// MENU //
- Intro
- Harriet Farlow AI security background
- Proton VPN sponsor segment
- Practical AI Security book // AI Security
- Who's the book for
- Harriet's YouTube channel
- AI security course
- Practical demos
- Hacking an AI demo // Learning how AIs work
- Hacking an AI summary
- Hacking an AI visualizations
- AI deceiving another AI
- Hacking an AI visualizations continued
- Rushing to the AI market
- Adversarial patch explained
- Vibe coded visuals
- More visualization
- Growth of interest in AI security
- No advanced skills required
- Get in contact with Harriet Farlow // Conclusion
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Disclaimer: This video is for educational purposes only.
#aisecurity #aiagents #defcon