AWS Secures Amazon Bedrock AgentCore with AWS WAF
AWS introduces two architecture patterns to secure Amazon Bedrock AgentCore Runtime using AWS WAF, enabling rate limiting and threat protection for production endpoints.
Software
262 articles
The tools, frameworks, and platforms developers use to build with AI — coding assistants, agent frameworks, APIs, and developer tooling, with the updates that change how you ship.
LATEST NEWS
-
-
French Startup ZML Launches Free Product to Speed AI Inference Across Chips
French AI startup ZML has released a free product to optimize inference performance across multiple AI chips, including Nvidia, AMD, and Google TPU.
-
Hugging Face Tests Coding Agents on Amazon SageMaker
Hugging Face evaluated coding agents' ability to deploy models on Amazon SageMaker, finding inconsistent results with newer models.
-
Anthropic's Claude Cowork AI Agent Now Available on Mobile and Web
Anthropic has expanded access to its Claude Cowork AI agent to mobile and web platforms, starting with Max rs users.
-
AWS Finance Teams Use Amazon Quick to Save Hundreds of Hours
AWS Finance teams cut data preparation time by hundreds of hours using Amazon Quick, reducing customer analysis from 6 hours to 10 minutes per customer.
-
AWS Launches AI-Powered Support Companion Using Bedrock AgentCore
AWS announced a new AI-powered support companion that streamlines incident investigation, reducing time per case by 30–45 minutes. The tool integrates multiple AWS services through Amazon Bedrock AgentCore.
-
Amazon SageMaker AI Integrates MLflow for Model Monitoring
Amazon SageMaker AI now supports model monitoring with MLflow, enabling detection of data and model drift in production environments.
-
Amazon Launches Serverless Image Editing Agent with Bedrock AgentCore
Amazon Bedrock AgentCore enables a serverless image editing application that processes user requests in seconds, using three Stability AI models and no custom orchestration code.
-
Amazon Quick Chat Introduces AI-Generated SQL for Multi-Dataset Analysis
Amazon Quick Sight now lets analysts generate SQL through natural language, enabling complex multi-dataset queries without pre-joining data. The feature supports up to 12 datasets and allows for flexible joins like outer joins and cross-grain comparisons.
-
Amazon Quick Sight Introduces Multi-Dataset Relationships
Amazon Quick Sight now supports runtime joins across multiple datasets, reducing upfront data preparation and improving analysis flexibility. The feature enables logical relationships between datasets, allowing precise joins at query time.
-
Amazon Quick Introduces Dataset Enrichment to Embed Business Context
Amazon Quick now allows users to embed business context directly into datasets, eliminating the need for separate legacy Topics. This change simplifies governance and improves AI readiness for natural language queries.
-
Google Expands Gemini API with Managed Agents Enhancements
Google announced new features for Gemini API, including background execution and remote MCP integration, on July 7, 2026.