AWS security-lake documentation change
Summary
Fixed two broken URLs: one for Amazon Bedrock documentation and another for the AI-powered insights blog post.
Security assessment
The changes are purely URL corrections without modifying security content or addressing vulnerabilities.
Diff
diff --git a/security-lake/latest/userguide/bedrock-integration.md b/security-lake/latest/userguide/bedrock-integration.md index 74b495c1b..fb8a484b7 100644 --- a//security-lake/latest/userguide/bedrock-integration.md +++ b//security-lake/latest/userguide/bedrock-integration.md @@ -9 +9 @@ Generative AI -[Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html) is a fully managed service that makes high-performing foundation models (FMs) from leading AI startups and Amazon available for your use through a unified API. With Amazon Bedrock's serverless experience, you can get started quickly, privately customize foundation models with your own data, and easily and securely integrate and deploy them into your applications using AWS tools without having to manage any infrastructure. +[Amazon Bedrock](https://docs.aws.amazon.com//bedrock/latest/userguide/what-is-bedrock.html) is a fully managed service that makes high-performing foundation models (FMs) from leading AI startups and Amazon available for your use through a unified API. With Amazon Bedrock's serverless experience, you can get started quickly, privately customize foundation models with your own data, and easily and securely integrate and deploy them into your applications using AWS tools without having to manage any infrastructure. @@ -13 +13 @@ Generative AI -You can use the generative AI capabilities of Amazon Bedrock and natural language input in SageMaker AI Studio to analyze data in Security Lake and work towards reducing your organization’s risk and increase your security posture. You can reduce the amount of time needed to conduct an investigation by automatically identifying the appropriate data sources, generating and invoking SQL queries, and visualizing data from your investigation. For more details see [Generate AI powered insights for Amazon Security Lake using Amazon SageMaker AI Studio and Amazon Bedrock](https://aws.amazon.com/blogs/security/generate-ai-powered-insights-for-amazon-security-lake-using-amazon-sagemaker-studio-and-amazon-bedrock/). +You can use the generative AI capabilities of Amazon Bedrock and natural language input in SageMaker AI Studio to analyze data in Security Lake and work towards reducing your organization’s risk and increase your security posture. You can reduce the amount of time needed to conduct an investigation by automatically identifying the appropriate data sources, generating and invoking SQL queries, and visualizing data from your investigation. For more details see [Generate AI powered insights for Amazon Security Lake using Amazon SageMaker AI Studio and Amazon Bedrock](https://aws.amazon.com/blogs//security/generate-ai-powered-insights-for-amazon-security-lake-using-amazon-sagemaker-studio-and-amazon-bedrock/).