From the course: Secure Generative AI with Amazon Bedrock

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GenAI security scoping

GenAI security scoping

- [Instructor] With any emerging technology, it becomes critical to understand the associated scopes, risk, security, and compliance requirements. If you are just starting to explore or adopt generative AI, you might imagine that an entirely new security discipline will be required. While there are unique security considerations, the good news is that generative AI workloads also follow core security disciplines like identity and access management, data protection, privacy and compliance, application security and threat modeling. In order to help simplify security scoping efforts, AWS has created generative AI security scoping metrics that conveniently summarizes key security disciplines that you should consider, depending on your generative AI solution you select. The first step is to determine which scope your use case fits into. These scopes are numbered one to five. In this video, we will focus on scope number three and four, which relates to building Gen AI applications with…

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