Announcing Web Search on Amazon Bedrock AgentCore: Ground your AI agents in current, accurate web knowledge

According to the **AWS News Blog**, **AWS** announced **Web Search on Amazon Bedrock AgentCore**. This fully managed tool enables AI agents to ground their responses in current web knowledge with explicit citations.

From a product mechanics standpoint, **Web Search on Amazon Bedrock AgentCore** operates with **zero data egress** from the customer's secured **AWS environment**. The tool retrieves and formats web knowledge directly within the existing security boundary, delivering accurate, cited responses without sending data outside the customer's environment.

For engineers and builders, this release eliminates the manual overhead of integrating search capabilities and managing search infrastructure on **Amazon Bedrock AgentCore**. Developers can focus entirely on constructing agent logic and user workflows instead of building and maintaining custom web search pipelines.

In a broader market context, providing a native, fully managed search tool directly inside **Amazon Bedrock AgentCore** reduces reliance on external search APIs and custom retrieval setups. Guaranteeing **zero data egress** from the customer's secured **AWS environment** addresses security constraints that frequently block enterprise applications from connecting to the public web.

For teams building on **Amazon Bedrock AgentCore**, adopting **Web Search on Amazon Bedrock AgentCore** simplifies agent architectures by replacing custom search setups with a fully managed service. Organizations can now ground their AI agents in cited web knowledge while keeping all processing inside their secured AWS perimeter.