From the course: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify

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AI monitoring and logging

AI monitoring and logging

From the course: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify

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AI monitoring and logging

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- [Instructor] Let's take a look at this AWS AI Security Implementation Visualization. This represents a comprehensive approach to securing AI workloads on AWS, and we have four critical components that work together in order to do this. And if we look at the dynamic nature of the visualization, it's not just for visualization appeal, it's actually the constant flow of data and continuous monitoring. And this could be something that could show up in a control room at a major company. First up, let's look at the central security hub in the middle. This is a primary orchestrator of all the security operations. It's the central visibility across all the components, and it's a real-time response to security events. And it's also facilitating communication between the different modules. If we look at the next component, the security architecture in the top left, this is the fundamental security framework. It includes VPC configuration. This isolates the AI workloads, so they're in their…

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