The post highlights right-sizing, pricing options, storage tiering and lifecycle policies, and more efficient resiliency and logging approaches. Sbaynes (Microsoft Incident Response) explains how agentic AI systems can be compromised when Model Context Protocol (MCP) tool metadata is poisoned, causing an agent to take unintended actions. Allison announces general availability of Kimi K2.7 Code in GitHub Copilot, the first open-weight model offered in the Copilot model picker, including where it’s available, how it rolls out across plans, and what admins need to enable for Business and Enterprise. Mark Russinovich introduces Brain, Azure’s internal AIOps “reliability intelligence” layer that builds a digital twin of Azure health by combining telemetry, dependency graphs, and customer impact signals to drive faster detection, clearer scoping, and automated operational actions. Justin Bettencourt summarizes the June 2026 Azure SDK releases, highlighting new generally available Python client libraries for Azure AI Transcription and Microsoft Planetary Computer Pro, plus initial beta releases for Java and Python management/client libraries, with links to full release notes across supported languages. Waldek Mastykarz shares results from 150 GitHub Copilot Chat agent runs comparing Claude Sonnet 4.6 vs 5, showing how a “cheaper” model can still cost more due to token spikes and variance, and how output quality can regress depending on the task and available documentation.

• Azure Linux 4.0 and Azure Container Linux give developers and organizations a hardened Linux distribution purpose-built for cloud native and AI workloads.
• “Between June 12 and June 26, the threat actor behind it made more than 81 million login attempts and successfully compromised at least 78 Microsoft accounts across 64 organizations,” the company said in a statement.
• It stressed that traffic “that does not traverse through the Middle East is not impacted”.
• Microsoft did not immediately respond to a request for comment, but the company acknowledged issues with its Azure Front Door, a global content and application delivery network, service on its status page and social media accounts.

Community Fibre, an internet provider in the UK, similarly confirmed that some customers may have experienced issues due to the Microsoft outage. While the majority of customers and services are mitigated or seeing strong improvement across affected regions, we are continuing to work on tail-end recovery for remaining impacted customers and services. Microsoft Azure, the company’s cloud computing service, has experienced an outage just one week after issues with AWS took out swaths of the internet. The post maps a realistic finance workflow attack chain and gives concrete detection and mitigation steps using Microsoft security controls.

Agents get access to MCP tool servers, sandboxed code, and browser execution via Azure Container Apps dynamic sessions, and the full 1,400+ connector catalog. Azure Functions now has a first-class programming model for AI agents. Microsoft announced the Azure Functions serverless agents runtime in public preview at Build 2026, turning the event-driven compute service into a platform for building and hosting AI agents.

Use User Data Functions to securely call Fabric REST APIs

Jakub Oleksy’s June 2026 GitHub availability report summarizes six production incidents (including Copilot outages) and the reliability work behind GitHub’s ongoing Azure migration, with concrete mitigations like dependency pinning, stronger config validation, improved traffic blocking, and tighter production access controls. Arindamc walks through a Microsoft Fabric “row-to-action” pattern where database row changes are mirrored into OneLake, streamed through Fabric Eventstreams, aggregated with windowing, and routed to Activator and Eventhouse for real-time triggers and live KQL dashboards. The post also highlights governance features like tracing/evaluation, cost controls, and options for publishing agents to Teams and Microsoft 365 Copilot. The post explains where to find and enable skills, why they’re off by default, and highlights starter skills for API work, performance reviews, Azure deployments, and Kusto queries. Simona Liao, Wendy Breiding, and Yun Jung Choi introduce Visual Studio 18.8’s built-in Agent Skills, a set of reusable Copilot capabilities for common .NET and https://cgsmonitor.com/enhancing-efficiency-legal-process-outsourcing-benefits/ Azure tasks.

• Sign up for our Tech Decoded newsletter to follow the world’s top tech stories and trends.
• “We’re pursuing multiple remediation strategies, including moving traffic away from the impacted infrastructure and blocking the offending change,” the statement read.
• Lily Ma explains why synchronous MCP tool calls break down for long-running work, and shows a practical Azure Functions + Durable Functions pattern you can use today while the MCP Tasks extension rolls out across clients and SDKs.
• More aspects of the deal are disclosed in a joint blog post from the companies.

Every time a customer runs Red Hat on Azure, Red Hat collects the support subscription revenue. And the Linux running there, Ubuntu, RHEL, SUSE, and Debian, is maintained by other companies. It has been running quietly underneath Azure’s Kubernetes service (AKS) since 2023, and version 4.0 makes it available as a standalone product for the first time. The OS ships as a read-only image, so you cannot install packages, change settings, https://www.downloadwasp.com/13253/download-folder-lock.html or make any changes on a running system. Azure Container Linux is Microsoft’s second Linux product from Build 2026, and it is easy to confuse with Azure Linux 4.0 since they share the same kernel and security update schedule.

Microsoft is actively contributing back, with Kyle Gospodnetich, a Linux engineer at Microsoft, co-authoring a proposal to build x86-64-v3 packages for Fedora 45, motivated directly by Azure Linux’s performance needs. Azure Linux 4.0 is built on Fedora as its upstream base. If teams need to change system packages, they’re on the wrong product. ChatGPT scales across over 10 million compute cores running Linux. Azure Linux 4.0 and Azure Container Linux give developers and organizations a hardened Linux distribution purpose-built for cloud native and AI workloads.

Azure AI services awarded certifications include Cloud Security Alliance STAR Certification, FedRAMP Moderate, and HIPAA BAA. Azure AI services support a wide range of cultural languages at the service level. The APIs in Azure AI services are hosted on a growing network of Azure-managed data centers. For a complete list of Azure AI containers, see On-premises containers for Azure AI services.

Exact rates vary by model and service and change often, so price any real project against the official Azure pricing pages. Azure AI pricing is consumption-based, which is both its strength and the reason it is hard to quote a single number. What it does not do is design the customer-facing experience for you, which is a distinction we will come back to.

Azure offers a range of artificial intelligence (AI) services that can be used to build intelligent applications and automate business processes. These services include Azure Cognitive Services, which provides a https://darkside.ru/news/news-item.phtml?id=150877&dlang=en range of APIs for tasks such as image and text analysis, and Azure Bot Service, which allows developers to build and deploy chatbots and other conversational AI applications. In addition to these core machine learning services, Azure also provides a range of artificial intelligence (AI) services that can be used to build intelligent applications and automate business processes.

Natural Language Processing in Microsoft Azure

Language Understanding and the Speech service offer continuous integration and https://www.yaldex.com/press-releases/internet/latest-release-of-hyperic-hq.htm continuous deployment solutions that are powered by Azure DevOps and GitHub Actions. If you want to learn more about available client libraries and REST APIs, use our Azure AI services overview to pick a service and get started with one of our quickstarts. Let’s take a look at the different ways that you can work with the Azure AI services.

It lets developers and businesses build, deploy, and run AI applications and agents, using Microsoft’s model hosting, machine-learning tooling, and cloud compute. Teams like Turo, StubHub International, Sanlam Studios, and Trilogy run agents on Voiceflow in production. Fewer are built for the ongoing management that keeps an agent good once real customers start talking to it. It gives developers models, an agent runtime, and the plumbing to run AI on Azure. The harder question for most teams is not which cloud, but which layer of the stack they actually need to build on.

• Azure AI is Microsoft’s suite of AI services, tools, and infrastructure inside the Azure cloud.
• Foundry is aimed at teams that want to build AI applications and agents without standing up their own model-serving infrastructure.
• Azure offers a wide range of tools that are designed for different types of users, many of which can be used with Azure AI services.
• A unified speech-to-text model designed to transcribe up to 60 minutes of continuous audio in a single pass, producing structured output capturing who said what and when.

Azure Logic Apps integration

Azure AI services provide a layered security model, including authentication with Microsoft Entra credentials, a valid resource key, and Azure Virtual Networks. Using these containers gives you the flexibility to bring Azure AI services closer to your data for compliance, security, or other operational reasons. Many of the Azure AI services can be deployed in containers for on-premises access and use.

Azure AI is the set of AI frameworks, services, and tools inside the Microsoft Azure cloud. This guide covers what Azure AI actually is in 2026, what you can build with it, what it costs, and where a platform like Voiceflow fits alongside it. Azure AI is Microsoft’s umbrella for building and running AI in the cloud, and the platform at its center is now called Microsoft Foundry. If you last looked at “Azure AI Studio,” the tool you remember has been renamed twice and folded into something much https://homadeas.com/full-range-of-accounting-services-from-finance-pro-main-advantages.html larger. It serves models and runs agents; it won’t design or manage the customer-facing experience for you. Azure AI Foundry supports fine-tuning for OpenAI models (GPT-4o, GPT-4o-mini) and open-source models (Llama, Phi).

The content in the first four courses builds on information from earlier courses. We highly recommend taking the courses of each certificate program in the order they are presented. This specialization is intended for candidates with both technical and non-technical backgrounds. You will be assigned approximately one hours worth of work to complete every week for the fifteen weeks it takes to complete the four courses. “When I need courses on topics that my university doesn’t offer, Coursera is one of the best places to go.”

Simple to build, open by design

Bedrock for AWS-first organizations or teams that specifically need Claude (Anthropic), which isn’t available on Azure. It adds prompt flow for orchestration, built-in evaluation tools, and responsible AI features. The model catalog has 1,800+ models beyond OpenAI — Phi, Llama, Mistral, Cohere.