AWS ai documentation change
Summary
Updated link text from 'Security' to 'Amazon Bedrock Security' in documentation reference
Security assessment
Change only modifies link anchor text for clarity without altering security content. No evidence of addressing vulnerabilities or security incidents.
Diff
diff --git a/ai/responsible-ai/titan-image-generator/overview.md b/ai/responsible-ai/titan-image-generator/overview.md index 64b6c80ab..b2810701f 100644 --- a/ai/responsible-ai/titan-image-generator/overview.md +++ b/ai/responsible-ai/titan-image-generator/overview.md @@ -240 +240 @@ Titan Image Generator is available in Amazon Bedrock. Amazon Bedrock is a manage -All Amazon Bedrock models, including Titan Image Generator, come with enterprise security that enables customers to build generative AI applications that support common data security and compliance standards, including GDPR and HIPAA. Customers can use AWS PrivateLink to establish private connectivity between customized Titan models and on-premises networks without exposing customer traffic to the internet. Customer data is always encrypted in transit and at rest, and customers can use their own keys to encrypt the data, for example, using AWS Key Management Service (AWS KMS). Customers can use AWS Identity and Access Management (IAM) to securely control access to Amazon Bedrock resources. Also, Amazon Bedrock offers comprehensive monitoring and logging capabilities that can support customer governance and audit requirements. For example, Amazon CloudWatch; can help track usage metrics that are required for audit purposes, and AWS CloudTrail can help monitor API activity and troubleshoot issues as Titan Image Generator is integrated with other AWS systems. Customers can also choose to store the metadata, prompts, and image generations in their own encrypted Amazon Simple Storage Service (Amazon S3) bucket. For more information, see [Security](https://docs.aws.amazon.com/bedrock/latest/userguide/security.html). +All Amazon Bedrock models, including Titan Image Generator, come with enterprise security that enables customers to build generative AI applications that support common data security and compliance standards, including GDPR and HIPAA. Customers can use AWS PrivateLink to establish private connectivity between customized Titan models and on-premises networks without exposing customer traffic to the internet. Customer data is always encrypted in transit and at rest, and customers can use their own keys to encrypt the data, for example, using AWS Key Management Service (AWS KMS). Customers can use AWS Identity and Access Management (IAM) to securely control access to Amazon Bedrock resources. Also, Amazon Bedrock offers comprehensive monitoring and logging capabilities that can support customer governance and audit requirements. For example, Amazon CloudWatch; can help track usage metrics that are required for audit purposes, and AWS CloudTrail can help monitor API activity and troubleshoot issues as Titan Image Generator is integrated with other AWS systems. Customers can also choose to store the metadata, prompts, and image generations in their own encrypted Amazon Simple Storage Service (Amazon S3) bucket. For more information, see [Amazon Bedrock Security](https://docs.aws.amazon.com/bedrock/latest/userguide/security.html).