课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
免费学习该课程!
今天就开通帐号,24,700 门业界名师课程任您挑!
AI monitoring and logging
课程: Responsible AI on AWS: Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify
AI monitoring and logging
- [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…
内容
-
-
Course introduction1 分钟 29 秒
-
(已锁定)
AI security architecture4 分钟 19 秒
-
(已锁定)
AI auth patterns4 分钟 1 秒
-
(已锁定)
Complete AI security3 分钟 49 秒
-
(已锁定)
AI monitoring and logging3 分钟 51 秒
-
(已锁定)
AWS Rust compilation3 分钟 49 秒
-
(已锁定)
Monitoring Bedrock calls3 分钟 46 秒
-
(已锁定)
Visualizing Bedrock API calls2 分钟 51 秒
-
-
-
-
-