From the course: AI Security and Responsible AI Practices by Pearson

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AI supply chain security

AI supply chain security

From the course: AI Security and Responsible AI Practices by Pearson

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AI supply chain security

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AI supply chain security revolves around protecting the components that constitute AI systems from the training data and algorithms and models to the deployment and platforms and third-party libraries, right? So this protection is crucial because vulnerabilities in those components can lead into biased outcomes, security breaches, and even complete system failures in some cases. So if you look at some of the key vulnerabilities and attacks in supply chain that I have highlighted in the screen here, the first one is third-party software libraries, right? Some vulnerabilities in third-party libraries like LangChain and ChromaDB and many others that we already have shared with you here in the course. The other AI supply chain security risk is poison training data sets. And we covered that earlier in the course as well, where attackers or even insiders can potentially manipulate data sets that are used for training models or fine-tuning models as well. And then the last one here is…

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