Introducing the Azure Resource Manager MCP Server!
We're super excited to announce the public preview of the Azure Resource Manager MCP Server! This is a remote MCP server that provides tools to give AI agents first-class access to Azure infrastructure operations through Azure Resource Manager (ARM). AI agents can now be equipped with tools to generate, validate, execute Azure Resource Graph (ARG) queries and tools to deploy and manage ARM template deployments. This server is able to generate and execuite queries that return data across all your Azure resource types! At its core, this server is built to help AI agents interact with Azure resources seamlessly. What this means for you Ask natural language questions about your Azure estate to your agents and get real time, accurate answers backed with an ARG query Deploy and manage infrastructure easily by having AI deploy ARM templates for you Monitor deployment status and catch issues before they escalate Ability to build more advanced AI agents that understand your Azure environment What You Can Do Today Generate, Validate, and Execute Azure Resource Graph Queries from Natural Language No need to struggle with writing KQL from stratch! Describe what you need, and the MCP server tool generates Azure Resource Graph queries that match your intent. You ask an AI Agent: "Find all virtual machines in my subscription that don't have managed disks". It uses the tool and returns: A ready-to-execute ARG query without manual KQL writing. These queries spans across all your azure resource types so can learn and navigate across any type! Deploy, monitor and cancel ARM Templates Pass an ARM template, and the MCP server kicks off the deployment targeted to an existing resource group scope. Monitor the deployment by getting status about it and even cancel it if you decide its not doing what you need it to. Here is the complete list of the tool available in this preview: generate_query validate_query execute_query create_template_deployment get_arm_template_deployment_status cancel_arm_template_deployment Real-World Scenarios Infrastructure Compliance Audit "Show me all resources created in the last 30 days that don't have required tags." - The MCP server generates and executes the query, returning resources that need remediation. Your team can then fix them programmatically or through Copilot. Rapid Infrastructure Provisioning "Using this ARM template <path to template>, deploy a secure storage account with HTTPS-only access, private endpoints, and Standard_LRS replication to my production resource group." This will take an existing ARM template and deploy it to a resource group scope. Policy Compliance Check "Check if all resources in my subscription comply with the latest policy applied to it." - The MCP server generates and executes the query, returning resources that are non-compliant. Your team can then take corrective actions programmatically or through Copilot. Building Agents with Azure Resource Manager MCP Server The MCP server's tools can be integrated into custom agents you build with GitHub Copilot. What this means is you can create custom agents that automatically check compliance, track changes in a scope, or ensure all resources have a particular tag applied to them! Getting Started Prerequisites VS Code installed Valid Azure account with appropriate permissions GitHub Copilot subscription Installation Install the MCP Server Open https://aka.ms/JoinARMMCP VS Code launches automatically Click Install under Azure Resource Manager MCP Server Sign in with your Azure credentials If you hit any authentication issues see Troubleshooting Guide in our repo Check tools are enabled in Chat Open Chat in VS Code (View > Chat) Click Configure Tools Ensure the six Azure Resource Manager MCP Server tools are enabled Start Using It Ask Copilot a question about your Azure resources or infrastructure needs The MCP server handles the rest Governance & Security The Azure Resource Manager MCP Server respects your Azure permissions and governance policies. All operations run in the context of your signed-in user. Additionally you can apply Azure Policies to prevent deployments via the MCP Server. Find more details in the README of our documentation repo. What's Next? We are actively expanding the capabilities of the Azure Resource Manager MCP Server! The Server will expand to include: Additional ARM API capabilities with ARM Enhanced query generation and optimization Support for additional MCP clients beyond VS Code, next up: Claude Get Feedback We want to hear from you. Try the public preview and share your feedback. Found a bug? Or have a feature request? Open an issue on GitHub at https://aka.ms/ARMMCPIssue Resources - š Full Documentation ā Complete setup and usage guide - š Install Now ā Get started with the public preview - š Report Issues ā Share feedback and bugs - ā FAQ ā Common questions answered - š ļø Troubleshooting ā Resolve common issues Try It Today The Azure Resource Manager MCP Server public preview is available now. Visit https://aka.ms/JoinARMMCP to install and start automating your Azure infrastructure with AI. What agents will you build with these tools? We can't wait to see how you'll use this. Steven Bucher PM on Azure Resource Manager and Azure Governance
Improve your resiliency posture with new capabilities and intelligent assistance
At Microsoft Ignite 2025, Azure introduces intelligent automation and expanded capabilities to keep your business runningāno matter what. From zonal protection and disaster recovery to ransomware defense, discover how the new AI innovations in Azure Copilot helps you move from reactive recovery to proactive resilience.
Optimize Your Cloud Environment Using Agentic AI
In todayās cloud-first world, optimization is no longer a luxuryāitās a strategic imperative. As IT professionals and developers navigate increasingly complex environments, the need to reduce costs, improve sustainability, and accelerate decision-making has never been more urgent. At Ignite 2025, Microsoft is introducing a new wave of agentic capabilities within Azure Copilotāone of the key capabilities includes the optimization agent, designed to help you identify, validate, and act on opportunities to streamline cloud operations. For FinOps teams, this agent becomes especially powerful, enabling cost governance, carbon insights, and actionable recommendations to maximize financial efficiency at scale. From Complexity to Clarity For users familiar with Azureās cost and performance tools, the new operations center experience in the Azure Portal provides a unified agentic experience to monitor spend and carbon emissions side by side, surface the most critical optimization opportunities, and seamlessly trigger actions by invoking the Optimization agentābringing governance, efficiency, and sustainability into one streamlined experience. Whatās New in Optimization The optimization agent in Azure Copilot empowers teams to: Identify top actions prioritized by impact, cost savings, and ease of implementation. Evaluate cost and carbon impacts side-by-side, helping you make informed decisions that align with financial and sustainability goals. Validate recommendations with supporting evidence, current / projected utilization trends, and alternative SKU choices. Accelerate implementation with step-by-step guidance and agentic workflows that reduce toil and increase confidence. These capabilities are designed to scale FinOps impact, enabling collaboration across engineering, finance, procurement, and sustainability teamsāall within a unified experience. A Day in the Life: FinOps in Action Letās step into the shoes of a FinOps practitioner at a large enterprise navigating the complexities of cost management. Itās Monday morning. Over the weekend, a set of development VMs were left running, quietly accumulating costs. The optimization agentāa capability within Azure Copilotāsurfaces a top action: resize or shut down the idle resources. With a few clicks, the practitioner reviews the supporting evidence, including usage trends, cost impact, and carbon footprint. The agent offers visibility over alternative SKUs and guides the practitioner through a step-by-step implementationāall within the same interface. But it doesnāt stop there. For teams that prefer automation or scripting, the agent also generates Azure CLI and PowerShell scripts tailored to the recommended action. This gives practitioners flexibility: they can execute changes directly in the portal or integrate scripts into their existing workflows for repeatability and scale. The experience is seamlessāevery recommendation is actionable, verifiable, and aligned with enterprise policy. By midweek, the practitioner has implemented multiple optimizations without leaving the console or writing custom code. Each action is logged for audit visibility, ensuring compliance and transparency across the organization. What used to take hours of manual investigation and coordination now happens in minutes, freeing the team to focus on strategic initiatives rather than firefighting cost overruns. Why It Matters These arenāt just featuresātheyāre answers to the pain points customers have been voicing for years. Cost visibility and predictability: Azure Copilot centralizes insights across subscriptions, helping teams avoid surprise bills and understand where every dollar goes. Resource inefficiencies: The optimization agent proactively identifies underutilized resources and guide teams to act before costs escalate. Scalability and complexity: Azure Copilotās unified experience simplifies operations for even the most complex setups. Azure Copilot isnāt just simplifying cloud operationsāitās transforming how teams collaborate, govern, and optimize. Get Started at Ignite At Ignite 2025, youāll get hands-on with Azure Copilotās optimization capabilities. Explore how intelligent assistance can help you: Reduce cloud costs Improve sustainability metrics Strengthen governance and compliance Drive better outcomesāfaster Azure Copilot: turning cloud operations into intelligent collaboration. Sign up for the Agents in Azure Copilot Limited (Preview) and try the experience today.Empower Smarter AI Agent Investments
This curated series of modules is designed to equip technical and business decision-makers, including IT, developers, engineers, AI engineers, administrators, solution architects, business analysts, and technology managers, with the practical knowledge and guidance needed to make cost-conscious decisions at every stage of the AI agent journey. From identifying high-impact use cases and understanding cost drivers, to forecating ROI, adopting best practices, designing scalable and effective architectures, and optimizing ongoing investments, this learning path provides actionable guidance for building, deploying, and managing AI agents on Azure with confidence. Whether youāre just starting your AI journey or looking to scale enterprise adoption, these modules will help you align innovation with financial discipline, ensuring your AI agent initiatives deliver sustainable value and long-term success. Discover the full learning path here: aka.ms/Cost-Efficient-AI-Agents Explore the sections below for an overview of each module included in this learning path, highlighting the core concepts, practical strategies, and actionable insights designed to help you maximize the value of AI agent investments on Azure: Module 1: Identify and Prioritize High-Impact, Cost-Effective AI Agent Use Cases The journey begins with a strategic approach to selecting AI agent use cases that maximize business impact and cost efficiency. This module introduces a structured framework for researching proven use cases, collaborating across teams, and defining KPIs to evaluate feasibility and ROI. Youāll learn how to target āquick winsā while ensuring alignment with organizational goals and resource constraints. Explore this module Module 2: Understand the Key Cost Drivers of AI Agents Building on the foundation of use case selection, Module 2 dives into the core cost drivers of AI agent development and operations on Azure. It covers infrastructure, integration, data quality, team expertise, and ongoing operational expenses, offering actionable strategies to optimize spending at every stage. The module emphasizes right-sizing resources, efficient data preparation, and leveraging Microsoft tools to streamline development and ensure sustainable, scalable success. Explore this module Module 3: Forecast the Return on Investment (ROI) of AI agents With a clear understanding of costs, the next step is to quantify value. Module 3 empowers both business and technical leaders with practical frameworks for forecasting and communicating ROI, even without a finance background. Through step-by-step guides and real-world examples, youāll learn to measure tangible and intangible outcomes, apply NPV calculations, and use sensitivity analysis to prioritize AI investments that align with broader organizational objectives. Explore this module Module 4: Implement Best Practices to Empower AI Agent Efficiency and Ensure Long-Term Success To drive efficiency and governance at scale, Module 4 introduces essential frameworks such as the AI Center of Excellence (CoE), FinOps, GenAI Ops, the Cloud Adoption Framework (CAF), and the Well-Architected Framework (WAF). These best practices help organizations accelerate adoption, optimize resources, and foster operational excellence, ensuring AI agents deliver measurable value, remain secure, and support sustainable enterprise growth. Explore this module Module 5: Maximize Cost Efficiency by Choosing the Right AI Agent Development Approach Selecting the right development approach is critical for balancing speed, customization, and cost. In Module 5, youāll learn how to align business needs and technical skills with SaaS, PaaS, or IaaS options, empowering both business users and developers to efficiently build, deploy, and manage AI agents. The module also highlights how Microsoft Copilot Studio, Visual Studio, and Azure AI Foundry can help your organization achieve its goals. Explore this module Module 6: Architect Scalable and Cost-Efficient AI Agent Solutions on Azure As your AI initiatives grow, architectural choices become paramount. Module 6 explores how to leverage Azure Landing Zones and reference architectures for secure, well-governed, and cost-optimized deployments. It compares single-agent and multi-agent systems, highlights strategies for cost-aware model selection, and details best practices for governance, tagging, and pricing, ensuring your AI solutions remain flexible, resilient, and financially sustainable. Explore this module Module 7: Manage and Optimize AI Agent Investments on Azure The learn path concludes with a focus on operational excellence. Module 7 provides guidance on monitoring agent performance and spending using Azure AI Foundry Observability, Azure Monitor Application Insights, and Microsoft Cost Management. Learn how to track key metrics, set budgets, receive real-time alerts, and optimize resource allocation, empowering your organization to maximize ROI, stay within budget, and deliver ongoing business value. Explore this module Ready to accelerate your AI agent journey with financial confidence? Start exploring the new learning path and unlock proven strategies to maximize the cost efficiency of your AI agents on Azure, transforming innovation into measurable, sustainable business success. Get started todayCloud and AI Cost Efficiency: A Strategic Imperative for Long-Term Business Growth
In this blog, weāll explore why cost efficiency is a top priority for organizations today, how Azure Essentials can help address this challenge, and provide an overview of Microsoftās solutions, tools, programs, and resources designed to help organizations maximize the value of their cloud and AI investments.
GA: Enhanced Audit in Azure Security Baseline for Linux
Weāre thrilled to announce the General Availability (GA) of the Enhanced Azure Security Baseline for Linuxāa major milestone in cloud-native security and compliance. This release brings powerful, audit-only capabilities to over 1.6 million Linux devices across all Azure regions, helping enterprise customers and IT administrators monitor and maintain secure configurations at scale. What Is the Azure Security Baseline for Linux? The Azure Security Baseline for Linux is a set of pre-configured security recommendations delivered through Azure Policy and Azure Machine Configuration. It enables organizations to continuously audit Linux virtual machines and Arc-enabled servers against industry-standard benchmarksāwithout enforcing changes or triggering auto-remediation. This GA release focuses on enhanced audit capabilities, giving teams deep visibility into configuration drift and compliance gaps across their Linux estate. For our remediation experience, there is a limited public preview available here: What is the Azure security baseline for Linux? | Microsoft Learn Why Enhanced Audit Matters In todayās hybrid environments, maintaining compliance across diverse Linux distributions is a challenge. The enhanced audit mode provides: Granular insights into each configuration check Industry aligned benchmark for standardized security posture Detailed rule-level reporting with evidence and context Scalable deployment across Azure and Arc-enabled machines Whether you're preparing for an audit, hardening your infrastructure, or simply tracking configuration drift, enhanced audit gives you the clarity and control you needāwithout enforcing changes. Key Features at GA ā Broad Linux Distribution Support š Full distro list: Supported Client Types š Industry-Aligned Audit Checks The baseline audits over 200+ security controls per machine, aligned to industry benchmarks such as CIS. These checks cover: OS hardening Network and firewall configuration SSH and remote access settings Logging and auditing Kernel parameters and system services Each finding includes a description and the actual configuration stateāmaking it easy to understand and act on. š Hybrid Cloud Coverage The baseline works across: Azure virtual machines Arc-enabled servers (on-premises or other clouds) This means you can apply a consistent compliance standard across your entire Linux estateāwhether itās in Azure, on-prem, or multi-cloud. š§ Powered by Azure OSConfig The audit engine is built on the open-source Azure OSConfig framework, which performs Linux-native checks with minimal performance impact. OSConfig is modular, transparent, and optimized for scaleāgiving you confidence in the accuracy of audit results. š Enterprise-Scale Reporting Audit results are surfaced in: Azure Policy compliance dashboard Azure Resource Graph Explorer Microsoft Defender for Cloud (Recommendations view) You can query, export, and visualize compliance data across thousands of machinesāmaking it easy to track progress and share insights with stakeholders. š° Cost Thereās no premium SKU or license required to use the audit capabilities with charges only applying to the Azure Arc managed workloads hosted on-premises or other CSP environmentsāmaking it easy to adopt across your environment. How to Get Started Review the Quickstart Guide š Quickstart: Audit Azure Security Baseline for Linux Assign the Built-In Policy Search for āLinux machines should meet requirements for the Azure compute security baselineā in Azure Policy and assign it to your desired scope. Monitor Compliance Use Azure Policy and Resource Graph to track audit results and identify non-compliant machines. Plan Remediation While this release does not include auto-remediation, the detailed audit findings make it easy to plan manual or scripted fixes. Final Thoughts This GA release marks a major step forward in securing Linux workloads at scale. With enhanced audit now available, enterprise teams can: Improve visibility into Linux security posture Align with industry benchmarks Streamline compliance reporting Reduce risk across cloud and hybrid environmentsšØ Azure Service Health Built-In Policy (Preview) ā Now Available!
Resiliency is a key focus for Microsoft in making sure our customers experience minimal impact due to planned or unexpected outages that may occur. Up until now there has been no native scalable solution to provide consistent notifications across Azure subscriptions for Service Health events. Building on the success of Azure Monitor Baseline Alerts (AMBA) where this functionality is currently available, the AMBA team has combined with the Service Health Product team to include this capability into the Azure native experience. Weāre excited to announce the release of Azure Service Health Built-In Policy (Preview), a new built-in Azure Policy designed to simplify and scale the deployment of Service Health alerts across your Azure environment. This policy enables customers to automatically deploy Service Health alerts across subscriptions, ensuring consistent visibility into platform-level issues that may impact workloads. Existing subscriptions can be remediated in bulk and new Azure subscriptions, created once the Policy has been assigned, will automatically be configured for receiving Service Health alerts. š What's the purpose of this announcement? It addresses situations where customers only permit the use of built-in policies. It automates the setup of Service Health alerts across all subscriptions when deployed at the management group level. It ensures consistent alert coverage for platform events. It helps reduce manual setup and ongoing maintenance. š ļø What options are available with the Policy? All the learnings from AMBA have been taken into consideration in designing and creating this policy. There are now a wide range of options available to provide flexibility based on your needs. These options are surfaced as parameters within the policy: It audits the existing environment for compliance. It ensures the ability to provide custom alert rules that align with the naming standards. It gives the ability to choose the types of Service Health events to monitor. It supports Bring-your-own Action Group, or the ability to create a new Action Group as part of the Policy assignment. For ARM role notification, it ensures the ability to choose from a pre-set list of built-in roles for notifications. It provides the ability to choose from email, Logic App, Event Hubs, webhook, and Azure Functions within the Action Group. It enables naming Resource groups, and location flexibility. It gives the ability to add Resource tags. š§© What about Azure Monitor Baseline Alerts? The AMBA team have been working to incorporate the newly built-in policy into a future release. The team plans to roll this out in the next few weeks along with details for existing customers on replacing the existing AMBA custom policy. These changes will then be consumed into Azure Landing Zones. AMBA continues to offer a wide range of alerts for both platform and workload services in addition to Service Health alerts. This announcement does not serve as a replacement for AMBA but simply compliments the AMBA solution. š£ Whatās Next? Check out the guidance on leveraging this policy in your environment Deploy Service Health alert rules at scale using Azure Policy - Azure Service Health Should you require support for this policy please raise a support ticket via the portal as comments raised below may not be addressed in a timely mannerEverything New in Azure Governance @ Build 2025
You've come to the right place if you're looking for everything happening with Azure Governance at Microsoft Build, May 19-22, 2025. Azure Governance is an ecosystem of neatly integrated services that provide the ability to ensure speed and control across your cloud environment. From enforcing rules in your cloud environment to querying the state of your resources at-scale, Azure Governance services keep your resources secure and compliant with corporate standards. Join us at Microsoft Build! #MSBuild Session: "Unlock developer agility with a well governed environment" - Thurs, May 22 @ 8:30 AM PDT In a world where app and env requirements are ever changing, maintaining control can be a moving target. Come learn how to empower your developers to achieve more, without compromising on security, compliance, or operational best practices through Azure Governance products. In this session we'll be discussing newly released features within Azure Policy, dive deep into Policy as code, and announce a new grouping construct called Service groups designed to optimize cross subscription management Join the session here: https://aka.ms/AzGovBuild25 Sign up for our #MSBuild Product Roundtable Sessions! Are you going to attend Build 2025 in person in Seattle? If the answer is Yes, Azure product teams would like to invite you to the following Customer Feedback Roundtable sessions at Microsoft Build 2025. Sign up here to join our roundtable sessions: https://aka.ms/AzGovRoundtable. This is a unique opportunity for you to share your insights and help shape the future of Azure. These roundtables will be filled on a first come, first serve basis, so don't miss your chance to sign up now! If you are not attending Build in person, no problem! If you are interested, we would like to invite you to participate in future online feedback sessions. New Releases @ Build 2025 The Azure Governance team is excited to share all the following new features across our product portfolio. For each of the features, you will find an accompanying announcement with scenario details, documentation and blog posts to follow along! Jump to section (New!) Azure Service Groups Azure Policy Azure Machine Configuration Azure Resource Graph (ARG) Azure Resource Manager (ARM) (New!) Azure Service Groups Azure Service Groups - Public Preview A Service Group (SG) is a new grouping structure in Azure that supports flexible grouping of cross-subscription resources and multiple hierarchies of groups. Service Groups provide a unified view and management capabilities, enabling: Low Privilege Management: Service Groups are designed to operate with minimal permissions, ensuring that users can manage resources without needing excessive access rights and appealing to multiple personas. Flexible Cross-Subscription Grouping: Azure resources and scopes, from anywhere in the tenant, can become members of one or multiple service groups. Varying Hierarchies: Service Groups can be self-nested providing the ability to have multiple hierarchy structures of resource containers. Data Aggregation & Views: Aggregate data from resources across subscriptions for practical workloads. View application health (via Health Model) and important data values centered around your wanted perspective. You can reach our team by email at mailto:azureservicegroups@microsoft.com for any questions or comments! TechCommunity Blog: https://aka.ms/servicegroupspreview MS Learn Documentation: http://aka.ms/servicegroups Azure Policy New Features currently in Private Preview Many of the Azure Policy enhancements, including user-based exemptions, caller-type based enforcement (e.g., type user or service principal) and IP filtering are currently in private preview and will soon be available to the public. Stay tuned! Azure Machine Configuration Linux SSH Posture Control Policy - Generally Available We are excited to announce additional built-in capabilities for Linux management scenarios through Azure policy and Machine Configuration. Through new built-in policies, you can manage your SSH configuration settings declaratively at-scale. SSH Posture Control enables you to use the familiar workflows of Azure Policy and Machine Configuration to: Ensure compliance with standards in your industry or organization Reduce attack surface of remote management features Ensure consistent setup across your fleet for security and productivity SSH Posture Control also provides detailed Reasons describing how compliance or non-compliance was determined. These Reasons help you to document compliance for auditors with confidence and evidence. They also enable you to take action when non-compliance is observed. MS Learn Documentation: What is SSH Posture Control? | Microsoft Learn Windows Server 2025 Audit Policy (powered by OSConfig) - Generally Available You can now deploy the Windows Server 2025 security baseline to your environment and ensures that desired security measures are in place, providing a comprehensive and standardized security framework. The Windows Server 2025 baseline includes over 300 security settings to ensure that it meets industry-standard security requirements. It also provides co-management support for both on-premises and Azure Arc-connected devices. The OSConfig tool is a security configuration stack that uses a scenario-based approach to deliver and apply the desired security measures for your environment. MS Learn documentation: Configure security baselines for Windows Server 2025 | Microsoft Learn Onboarding Arc Machines at-scale to Machine Config in Azure Portal - Public Preview With the integration of Machine Configuration audit policies in the Arc at-scale onboarding experience, you can now quickly deploy audit policies to get a deeper look at the security posture of your Arc-enabled servers. Whether you're seeking to test Machine Configuration on an Arc machine or looking to deploy a policy across a broader scope of machines, your deployment workflow just got incredibly easy with this new integration. Azure Resource Graph (ARG) ARG GET/LIST API - Private Preview Now in Private Preview is the Azure Resource Graph GET/LIST API, a highly scalable, fast, and performant alternative to existing control plane GET and List API calls within the Azure ecosystem. This API allows you to mitigate issues related to throttling, such as performance degradation and failed requests offering a 10X higher Read throttling quota to callers, ensuring faster and more efficient read operations for your critical cloud native workload. Contact argpms@microsoft.com to join the private preview program! Azure Resource Graph Copilot ā Generally Available With the release of the Azure Resource Graph (ARG) skill within Copilot, customers can access the ARG query skill through Azure Portal or Github Copilot. Questions about resource governance like āhow many Linux VMs do I ownā will be sent to the ARG Skill. With this release, customers can easily turn natural language questions into ARG queries. ARG Copilot helps users create queries to quickly surface insights about resources and simplify operational investigations. MS Learn documentation: https://learn.microsoft.com/azure/copilot/get-information-resource-graph Azure Resource Manager (ARM) EU Data Boundary enabled by ARM - Generally Available Going beyond Azure's existing data storage commitments, you can now store and process EU Data in the EU by leveraging Azure data boundaries enabled by Azure Resource Manager. With Azure Resource Manager, you can ensure that in-scope, global Azure metadata data, including EUII, EUPI, Customer Content, and Support Data, are routed, processed, and stored entirely within EU data boundary countries and datacenter locations. This builds on Azure's existing regional metadata privacy commitments and helps our European customers achieve greater control over data locality to meet regulatory, compliance, and sovereignty requirements. MS Learn Documentation: What is the EU Data Boundary? - Microsoft Privacy | Microsoft Learn Stay Updated Keep in touch with Azure Governance products, announcements, and key scenarios. Bookmark the Azure Governance Tech Community Blog, then follow us @AzureGovernance on X (previously known as Twitter) Share Product feedback/ideas with us here- Azure Governance Ā· Community For questions, you can reach us at: Azure Policy: policypm@microsoft.com Azure Resource Graph: argpms@microsoft.com
