Accelerate AI red teaming for your GenAI apps | DEM552
To keep pace with evolving AI risks, organizations need tools to effectively test their AI systems, simulate adversarial attacks, and uncover weaknesses before bad actors can exploit them. Learn how Azure AI Foundry and PyRIT can help your organization automate parts of the AI red teaming process, so you can scale up testing efforts and improve AI security and safety across use cases.
To learn more, please check out these resources:
* https://aka.ms/build25/github/DEM552
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Nagkumar Arkalgud
* Nayan Paul
* Minsoo Thigpen
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
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Chapters (9)
Introduction to the session with Minsu and team
0:10
Introduction of speakers including representatives from Accenture
4:56
Explaining the AI Application Security Measures
6:11
Providing Comprehensive Safety Infrastructure and Red Teaming Scorecard
7:33
Running the Red Team Plugin to Enhance Application Security
7:58
Overview of Automatic Conversation List
10:02
Possibility of an Interactive Session with AI
13:32
Adjusting Attack Mitigations using Azure AI Foundry's Guard Rails
14:31
Conclusion and Resources for AI Development
Playlist
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![What you need to know about LLMs [Pt 1]](https://i.ytimg.com/vi/GQ_2OjNZ9aA/mqdefault.jpg)
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3
![Azure tools & services for hosting and storing AI apps [Pt 9]](https://i.ytimg.com/vi/WB6Fpzhwyug/mqdefault.jpg)
4
![Run AI models on your local machine with Ollama [Pt 5]](https://i.ytimg.com/vi/dLfNnoPv4AQ/mqdefault.jpg)
5
![Streaming Generative AI output with the AI Chat Protocol [Pt 10]](https://i.ytimg.com/vi/fzDCW-6hMtU/mqdefault.jpg)
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![Essential prompt engineering techniques [Pt 2]](https://i.ytimg.com/vi/gQ6TlyxBmWs/mqdefault.jpg)
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![Improve AI accuracy and reliability with RAG [Pt 3]](https://i.ytimg.com/vi/xkFOmx5yxIA/mqdefault.jpg)
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