Event arc
It provides practical, tested methods to secure AI runtime environments on AWS.
AI BriefWire / Thread
Securing Amazon Bedrock AgentCore Runtime with AWS WAF
AWS published a blog post detailing two architecture patterns to secure Amazon Bedrock AgentCore Runtime using AWS WAF. The patterns involve routing traffic through a VPC Interface Endpoint with either a Lambda proxy or direct ALB targeting to control and protect requests. These methods also include resource policies to ensure traffic only flows through AWS WAF, enhancing security with SigV4 and OAuth authentication.
AWS Machine Learning Blog
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Companies involved
Amazon (AMZN)
Market lens
Improved security can reduce risk and increase trust in AI service deployments.
Operator take
Organizations using Amazon Bedrock should consider these patterns to enhance runtime security.
Source mix
Sources in this thread (1): AWS Machine Learning Blog
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Securing Amazon Bedrock AgentCore Runtime with AWS WAF
AWS published a blog post detailing two architecture patterns to secure Amazon Bedrock AgentCore Runtime using AWS WAF. The patterns involve routing traffic through a VPC Interface Endpoint with either a Lambda proxy or direct ALB targeting to control and protect requests. These methods also include resource policies to ensure traffic only flows through AWS WAF, enhancing security with SigV4 and OAuth authentication.
Tracking AMZNAMZN
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Securing Amazon Bedrock AgentCore Runtime with AWS WAF
AWS published a blog post detailing two architecture patterns to secure Amazon Bedrock AgentCore Runtime using AWS WAF. The patterns involve routing traffic through a VPC Interface Endpoint with either a Lambda proxy or direct ALB targeting to control and protect requests. These methods also include resource policies to ensure traffic only flows through AWS WAF, enhancing security with SigV4 and OAuth authentication.
Tracking AMZNAMZN