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Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents
Google and industry partners announced Agentic Resource Discovery (ARD) Specification, an open standard for publishing, discovering, and verifying AI tools, APIs, and agents. ARD introduces a discovery layer built on catalogs and registries, enabling dynamic capability discovery while leveraging existing protocols such as MCP and OpenAPI for execution and emphasizing trust and interoperability.
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Microsoft Expands Azure Kubernetes Service with Bare Metal, Fleet Management and AI Infrastructure
At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications.
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Microsoft Scout, New Enterprise Autopilot Built on OpenClaw, Announced at Build 2026
Microsoft recently introduced at Build 2026 Microsoft Scout, an always-on agent. Scout belongs to a new category of agents Microsoft called Autopilots: always-on agents that work autonomously on a user’s behalf with their own identity, without needing to be prompted each time. Microsoft Scout integrates with Work IQ and is based on the open-source agent framework OpenClaw.
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Microsoft Open-Sources PostgreSQL Extension for In-Database Durable Execution
Recently open-sourced by Microsoft, pg_durable is a PostgreSQL extension that enables durable workflows to run natively inside the database, eliminating the need for external orchestration systems.
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Microsoft Discovery Reaches GA on Azure, Powering the Agentic AI behind Majorana 2 Quantum Chip
Microsoft announced the general availability of Microsoft Discovery, its Azure-based platform for deploying autonomous AI agent teams in scientific R&D. The platform powered the development of Majorana 2, a topological quantum chip with 1,000x reliability improvement and 20-second qubit lifetimes. Microsoft now targets a scalable quantum computer by 2029, halving its original timeline.
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Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research
Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across Windows and other Microsoft software environments. The system combines more than 100 specialized AI agents that work together to scan, validate, debate, and prove vulnerabilities across complex codebases.
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Microsoft Launches Azure Copilot Migration Agent to Accelerate Cloud Migration Planning
Microsoft has launched the Azure Copilot Migration Agent, an AI assistant built into the Azure portal that automates migration planning, agentless VMware discovery, and landing zone creation. Despite being billed as generally available, the agent is in public preview and cannot execute migrations. Replication and cutover remain manual tasks in Azure Migrate.
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Running Ray at Scale on AKS
The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, and problems with credential expiry.
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Microsoft Releases Azure Functions Support for Model Context Protocol Servers
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI agents. With built-in OBO authentication and streamable HTTP transport, it addresses key security concerns. Now supporting multiple languages and self-hosting, MCP empowers developers to deploy with ease while safeguarding sensitive data.
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Microsoft Share Update on TypeScript 7
Microsoft's TypeScript 7, codenamed Project Corsa, transforms the compiler with a complete rewrite in Go, achieving up to 10x faster builds and reduced memory usage. With strict mode enabled by default, this update enhances type safety while maintaining compatibility. Developers are excited about the performance gains and improved efficiency for large codebases.
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Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models
A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.
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Microsoft Foundry Agent Service Simplifies State Management with Long-Term Memory Preview
Microsoft has launched a public preview of a managed long-term memory store for its Foundry Agent Service. The service automates the extraction, consolidation, and retrieval of user context, providing a native "state layer" that prevents intelligence decay in long-running interactions with AI agents.
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Azure API Management Premium v2 GA: Simplified Private Networking and VNet Injection
Microsoft has launched API Management Premium v2, redefining security and ease-of-use in cloud API gateways. This new architecture enhances private networking by eliminating management traffic from customer VNets. With features like Inbound Private Link, availability zone support, and custom CA certificates, users gain unmatched networking flexibility, resilience, and significant cost savings.
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Azure Virtual Desktop Goes Fully Hybrid with Arc-Enabled Servers
Microsoft's Azure Virtual Desktop (AVD) now supports hybrid environments, enabling on-premises Arc-Enabled Servers to act as session hosts. This integration enables customers to run virtual desktops in their data centers while leveraging cloud management tools. The update enhances flexibility, compliance, and operational integrity across various industries.
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Microsoft's Azure Cobalt 200 ARM Chip Delivers 50% Performance Boost
At the Ignite conference, Microsoft unveiled the Cobalt 200 ARM processors, boasting a remarkable 50% performance boost. Engineered with advanced AI simulations and robust security features, it supports high-density workloads with 132 cores. As the next-gen solution for Azure, Cobalt 200 sets a new standard in efficiency and power, enhancing cloud capabilities for diverse applications.