What new risks generative AI brings to your applications and how to mitigate.
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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 – Introduction
00:45 – App architecture
05:39 – Normal security considerations
10:58 – Creative nature of generative AI
14:24 – The model security
17:04 – Fine-tuning
18:07 – Protecting your IP
19:11 – Restrict API access to models
20:42 – Prompt injection
21:26 – Data leakage
24:42 – Plug-ins and agents
25:29 – Prompt injection
29:35 – Indirect attack
30:58 – Content filters
33:58 – Perform your own testing
35:47 – Responsibility
40:40 – AI for good
41:20 – Summary
43:12 – Close
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 https://github.com/johnthebrit/RandomStuff/raw/master/Whiteboards/GenAISecurity.png
► Azure AI Landing Zone:
🔗 https://techcommunity.microsoft.com/t5/azure-architecture-blog/azure-openai-landing-zone-reference-architecture/ba-p/3882102
► AI Shared Responsibility:
🔗 https://learn.microsoft.com/azure/security/fundamentals/shared-responsibility-ai
► Azure responsible AI:
🔗 https://www.microsoft.com/ai/principles-and-approach/
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
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