课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
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AI security architecture
课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
AI security architecture
- [Instructor] Let's talk through AWS AI security architecture. What this diagram represents is a series of security blog posts recommendations from 2023 and 2024, and these represent the recommended security architectures across different kinds of AI implementation scopes. And the framework is developed by AWS security specialists that are working with our largest customers, and it provides a practical approach to secure the AI workloads while maintaining their traditional software engineering best practices and operational effectiveness. So if we take a look at the first topic here, which is the security scoping matrix, there's these five scopes. First one is Scope 1, or consumer apps. The second scope is enterprise apps. The Scope 3 is pre-trained models. Scope 4 is fine-tuned models. And scope 5 is self-trained models. So Scope 5 is probably going to be a very minor amount of the examples, but just for completeness, it's inside of this as well. And the idea here is that there's a…
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Course introduction1 分钟 29 秒
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AI security architecture4 分钟 19 秒
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AI auth patterns4 分钟 1 秒
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Complete AI security3 分钟 49 秒
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AI monitoring and logging3 分钟 51 秒
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AWS Rust compilation3 分钟 49 秒
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Monitoring Bedrock calls3 分钟 46 秒
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Visualizing Bedrock API calls2 分钟 51 秒
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