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AWS enhances Bedrock AgentCore security with WAF integration

AWS has introduced two architectural patterns to enhance the security of Amazon Bedrock AgentCore runtime endpoints. These patterns leverage AWS WAF to protect against common web threats and enforce access controls for generative AI agents deployed as production APIs. The solutions address the challenge of authenticating API calls, including health checks, by integrating AWS WAF with internet-facing Application Load Balancers and VPC Interface Endpoints for AgentCore. AI

IMPACT Enhances the security posture for deploying generative AI agents in production environments, enabling more robust API endpoint protection.

RANK_REASON The article describes a technical implementation detail for securing an existing AWS service, rather than a new product launch or core AI advancement.

Read on AWS Machine Learning Blog →

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AWS enhances Bedrock AgentCore security with WAF integration

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Puneeth Komaragiri ·

    Securing Amazon Bedrock AgentCore Runtime with AWS WAF

    This post shows you two architecture patterns that address this problem. Both use an internet-facing ALB with AWS WAF and route traffic through a VPC Interface Endpoint to AgentCore Runtime. Pattern 1 places an AWS Lambda proxy between the ALB and the VPC Endpoint, giving you ful…