What’s new in AI: models, tools and techniques, verified
Companies
Amazon and AWS AI services, including Bedrock.
Amazon Web Services has announced the general availability of Web Answer on Amazon Bedrock AgentCore, offering developers a managed connector for agentic web search and citation synthesis. Alongside this launch, AWS outlined advanced enterprise governance architectures integrating Okta Cross App Access, AgentCore Gateway, and Cedar policies.
Amazon Web Services has published documentation detailing two governance and security features for Amazon Quick: Smart Approvals, which uses automated review to reduce routine prompts while preserving human oversight, and Deny by Default, which restricts AI capabilities upon release unless explicitly allowed.
Amazon SageMaker Inference now supports NVIDIA Multi-Instance GPU (MIG) partitioning, allowing users to divide a single physical GPU into independent partitions. This feature enables organizations to host multiple models on one accelerator with hardware-enforced isolation, improving utilization and reducing inference costs.
Amazon Web Services has published an architectural guide for building a serverless Model Context Protocol server on Amazon ECS Fargate. The design aims to provide AI agents with metadata-driven access to enterprise data lakes without requiring custom per-dataset integration code.
Amazon Web Services has announced the general availability of Web Answer on Amazon Bedrock AgentCore, offering developers a managed connector for agentic web search and citation synthesis. Alongside this launch, AWS outlined advanced enterprise governance architectures integrating Okta Cross App Access, AgentCore Gateway, and Cedar policies.
Amazon Web Services has published documentation detailing two governance and security features for Amazon Quick: Smart Approvals, which uses automated review to reduce routine prompts while preserving human oversight, and Deny by Default, which restricts AI capabilities upon release unless explicitly allowed.
Amazon Web Services has published an architectural guide for building a serverless Model Context Protocol server on Amazon ECS Fargate. The design aims to provide AI agents with metadata-driven access to enterprise data lakes without requiring custom per-dataset integration code.