Amazon Web Services has introduced product updates focused on artificial intelligence tools, data services and serverless computing. The changes include new web search access in Amazon Bedrock, dedicated runtime instances for Bedrock AgentCore, vector search in DynamoDB, broader availability for AWS Transform continuous modernisation and higher network bandwidth for some AWS Lambda functions. OpenAI models available through Bedrock, including GPT-5.4, GPT-5.5 and GPT-5.6 Sol, Terra and Luna, can now browse and retrieve information from the internet, giving applications access to current information beyond model training data. The feature is intended for AI applications and agents that need answers based on live web content while remaining inside a customer's AWS environment, with a setup designed to maintain data residency with no data egress. Runtime instances on Amazon Bedrock AgentCore are now generally available, letting customers deploy and run AI agents on dedicated runtime instances rather than shared infrastructure. DynamoDB now supports vector search, allowing users to store and query vector embeddings alongside existing application data, which in some cases removes the need to maintain a separate vector database. AWS Transform continuous modernisation is now generally available, intended to help engineering teams analyse and remediate technical debt across source code repositories at scale. For serverless users, Lambda now supports network bandwidth of up to 3,000 Mbps for functions outside a virtual private.