Security Copilot Skilling Series
Starting this October, Security Copilot joins forces with your favorite Microsoft Security products in a skilling series miles above the rest. The Security Copilot Skilling Series is your opportunity to strengthen your security posture through threat detection, incident response, and leveraging AI for security automation. These technical skilling sessions are delivered live by experts from our product engineering teams. Come ready to learn, engage with your peers, ask questions, and provide feedback. Upcoming sessions are noted below and will be available on-demand on the Microsoft Security Community YouTube channel. Coming Up October 30 | What's New in Copilot in Microsoft Intune Speaker: Amit Ghodke, Principal PM Architect, CxE CAT MEM Join us to learn about the latest Security Copilot capabilities in Microsoft Intune. We will discuss what's new and how you can supercharge your endpoint management experience with the new AI capabilities in Intune. Register now. (Save the date; registration opens soon) November 13 | Microsoft Entra AI: Unlocking Identity Intelligence with Security Copilot Skills and Agents Speakers: Mamta Kumar, Sr. Product Manager; Rahul Prakash, Principal Product Manager, AI Innovations; Chad Hasbrook, Sr. Product Manager, IDNA This session will demonstrate how Security Copilot in Microsoft Entra transforms identity security by introducing intelligent, autonomous capabilities that streamline operations and elevate protection. Customers will discover how to leverage AI-driven tools to optimize conditional access, automate access reviews, and proactively manage identity and application risks - empowering them into a more secure, and efficient digital future. Please stand by for an updated flight list; many more sessions coming soon. Click "follow" in the upper right of this article to be notified of updates. Now On-Demand October 16 | What’s New in Copilot in Microsoft Purview Speaker: Patrick David, Principal Product Manager, CxE CAT Compliance Join us for an insider’s look at the latest innovations in Microsoft Purview —where alert triage agents for DLP and IRM are transforming how we respond to sensitive data risks and improve investigation depth and speed. We’ll also dive into powerful new capabilities in Data Security Posture Management (DSPM) with Security Copilot, designed to supercharge your security insights and automation. Whether you're driving compliance or defending data, this session will give you the edge. October 9 | When to Use Logic Apps vs. Security Copilot Agents Speaker: Shiv Patel, Sr. Product Manager, Security Copilot Explore how to scale automation in security operations by comparing the use cases and capabilities of Logic Apps and Security Copilot Agents. This webinar highlights when to leverage Logic Apps for orchestrated workflows and when Security Copilot Agents offer more adaptive, AI-driven responses to complex security scenarios. All sessions will be published to the Microsoft Security Community YouTube channel - Security Copilot Skilling Series Playlist __________________________________________________________________________________________________________________________________________________________________ Looking for more? Keep up on the latest information on the Security Copilot Blog. Join the Microsoft Security Community mailing list to stay up to date on the latest product news and events. Engage with your peers one of our Microsoft Security discussion spaces.Security Copilot- Demystifying SCUs Deep Dive and AMA
Security Compute Units (SCUs) are the required resource units that power Microsoft Security Copilot, ensuring dependable and consistent performance across both standalone and embedded product experiences within Microsoft Security. In this session, we’ll demystify SCUs by unpacking: What SCUs are and how they function The billing models that govern their usage Optimization strategies to maximize value Best practices for SCU planning and deployment You’ll also have the opportunity to engage directly with Security Copilot experts to ask your SCU-related questions and gain practical insights. What is an AMA? An 'Ask Microsoft Anything' (AMA) session is an opportunity for you to engage directly with Microsoft employees! This AMA will consist of a short presentation followed by taking questions on-camera from the comment section down below! Ask your questions/give your feedback and we will have our awesome Microsoft Subject Matter Experts engaging and responding directly in the video feed. We know this timeslot might not work for everyone, so feel free to ask your questions at any time leading up to the event and the experts will do their best to answer during the live hour. This page will stay up so come back and use it as a resource anytime. We hope you enjoy!Microsoft Security Copilot agents
Automate phishing triage, prioritize alerts, streamline access reviews, and close policy gaps while keeping full control through natural language feedback and recommendations. Reduce repetitive work, cut through alert noise, and focus on the most critical risks facing your organization. Stay ahead of vulnerabilities and evolving threats by proactively identifying at-risk devices, deploying patches, and optimizing access policies as your environment changes. Build custom agents tailored to your workflows, connecting tools and data to automate your most time-consuming security tasks. Dilip Radhakrishnan, Microsoft Security Copilot Partner Director, shares how to keep your organization protected with Security Copilot agents. Spend less time chasing false alarms. Spend more time stopping real threats. See how Microsoft Security Copilot’s Phishing Triage Agent works. Simplify access reviews. Allow users to approve or revoke permissions in Microsoft Teams with natural language. See how with the Access Review Agent. No gaps, no guesswork. Spot misaligned users & apps, fix with one click. See how the Conditional Access Optimization Agent keeps organizations secure. QUICK LINKS: 00:00 — Security Copilot agents 01:02 — Phishing Triage Agent 02:17 — Alert Triage Agents 03:24 — Access governance 04:41 — Conditional Access Optimization Agent 05:57 — Vulnerability Remediation Agent 06:57 — Build your own specialized agents 07:54 — Wrap up Link References Get started at https://aka.ms/securitycopilotadoptionhub Unfamiliar with Microsoft Mechanics? As Microsoft’s official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast Keep getting this insider knowledge, join us on social: Follow us on Twitter: https://twitter.com/MSFTMechanics Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics Video Transcript: -What if your security tools could think like your best analysts and could augment your team skills and capacity to triage alerts faster, respond more effectively, and manage more incidents? That’s what Microsoft Security Copilot enables you to do, where we have both pre-built autonomous agents embedded across Microsoft’s security stack, along with verified agents developed by our security partners, which you can access from a brand new security store. And of course, you now have the option to build your own agents too. Microsoft Security Copilot agents work alongside you to help reduce manual work and accelerate your response times. -And you can secure these agents using a unique agent identity with its own permissions. Importantly, the agents learn from your instructions and feedback keeping you and your team in control. And they offer proven productivity benefits with reporting available to visualize the impact of each agent, like time savings to reduce alert triage times and more. So let’s start by making this real with some of the prebuilt autonomous agents embedded across the Microsoft security stack. -I’ll start with the Phishing Triage Agent in the Microsoft Defender portal designed to tackle one of the most difficult and evolving challenges for security analysts where phishing emails are reported by users every day, but many of those reports come from cautious employees flagging safe messages as threats. These false alarms drain time and distract from real attacks. To solve for this, the Phishing Triage Agent autonomously reviews each alert, applies advanced reasoning and built-in security expertise and precisely distinguishes true threats from harmless bulk or spam. You can trust the results because of the built-in feedback loop that helps you to tune agent outputs. As an analyst, you can provide feedback in natural language like, “this email is harmless,” and the agent will then adapt making future triage more tuned to your organization. The agent also provides a natural language explanation and visual workflow mapping the steps behind its assessment. With every interaction, the agent gets smarter removing the alert noise so you can focus on real phishing threats and hardening your defenses. -Next, let’s look at the Alert Triage Agents in Microsoft Purview, specifically, for Data Loss Prevention and Insider Risk Management. Each day your team might receive dozens of alerts, and often you might only be able to address a fraction of them due to time constraints. Prioritizing which alerts to tackle first can also be a challenge, because the importance of an alert may not be clear on the surface. -That’s where Alert Triage Agents work to analyze alerts based on the priorities you give it. This can range from user behavior, content sensitivity, activity context or other parameters in order to identify which alerts pose the greatest risk. And you can also fine-tune the agent’s triage criteria using natural language. For example you might specify, “Prioritize alerts involving finance documents accessed outside business hours.” Each alert is also accompanied by a detailed explanation of why it was prioritized to help you make data-driven decisions quickly. By mirroring how an analyst on your team would evaluate risk, these Alert Triage Agents help you focus on the alerts that matter most. So we’ve seen how agents help cut through noise, identifying real phishing threats and prioritizing risky alerts. -That same intelligence also powers access governance in Microsoft Entra. Access reviews are critical to reducing risk, but they’re often delayed, too difficult to navigate or approved in bulk with little scrutiny. This leads to over-permissioned users and missed compliance requirements. The Access Review Agent instead brings reviews directly into Microsoft Teams, giving business users clear guidance to complete them accurately and on time. In the background, the agent analyzes user data, summarizes context and provides informed recommendations based on signals like past decisions, role changes and sign-in activity. Reviewers can validate or override any recommendation with natural language input, ensuring accuracy and flexibility. -Admins can also configure which reviews the agent supports, such as recurring reviews for critical apps, privileged groups or compliance-bound access packages. Each review concludes with a clear summary of actions and explanations. By streamlining decisions and prioritizing risk, the Access Review Agent helps you complete reviews faster with more accuracy and less overhead. -Now let’s switch gears to discovering gaps in your security posture with the Conditional Access Optimization Agent in Microsoft Entra. We’ve all faced this. As your directory grows new users, contractors and apps are added constantly. Stale or unused accounts with access to your resources could be leveraged by attackers. Or maybe an entity wasn’t added to the right groups used for policy scoping, leaving a gap in protection. -Keeping conditional access policies aligned with these changes isn’t easy. And that’s where the Conditional Access Optimization agent helps by continuously scanning for new users and applications or changing attributes, then checking their alignment with existing conditional access policies. As it uncovers risks, it flags them automatically, for example users without MFA or apps with excessive permissions, then it even provides actionable recommendations that you often apply with a single click streamlining policy updates and reducing manual work. And now you can chat with the agent and you can more gradually roll out its recommendations over time. The agent helps ensure that your access policies evolve with your environment to close gaps before they become liabilities. -Next, you can bring together the worlds of trending threat intelligence with endpoint management using the Vulnerability Remediation Agent in Microsoft Intune to stay ahead of emerging threats. There might be trending OS or app-related vulnerabilities that could impact your managed devices and it’s difficult to map which specific devices are at risk. That’s where the Vulnerability Remediation Agent comes in. This agent continuously monitors known vulnerabilities and reevaluates them as new threats emerge. It assesses the impact of each vulnerability to prioritize which endpoints are at risk and need attention. For each CVE, the agent provides clear reasoning for urgency and suggests appropriate fixes that you can deploy. Its recommendations are designed to be effective and minimize disruption. This agent transforms vulnerability management from a reactive process into a repeatable and proactive approach, helping you to deploy patches faster and smarter. -Next, let me show you how easy it is to build your own specialized agents. This is an early look at the Security Copilot agent builder experience. Here, you can use natural language with Security Copilot to author an agent. From there, you have an option to edit or customize the agent further. Where in addition to your instructions from chat, you can refine and add inputs with the context needed to execute your tasks. -You can also add more tools to your agent for additional functionality where you can connect to MCP servers and access the tools within them. And if you’re an advanced developer, you can use your preferred tools like Visual Studio Code or others. Once complete and published, your in-house developed agents will be available alongside other Security Copilot agents and you can activate them to run autonomously based on triggers like events or schedules. So you have the complete flexibility to help automate your most time-consuming and important work. -Microsoft Security Copilot agents help prioritize the most critical risks, help you mitigate them and even offload time-consuming repetitive tasks. To get started, visit aka.ms/securitycopilotadoptionhub and subscribe to Microsoft Mechanics for the latest updates on AI-powered security. Thanks for watching.Introducing developer solutions for Microsoft Sentinel platform
Security is being reengineered for the AI era, moving beyond static, rule-bound controls and toward after-the-fact response toward platform-led, machine-speed defense. The challenge is clear: fragmented tools, sprawling signals, and legacy architectures that can’t match the velocity and scale of modern attacks. What’s needed is an AI-ready, data-first foundation - one that turns telemetry into a security graph, standardizes access for agents, and coordinates autonomous actions while keeping humans in command of strategy and high-impact investigations. Security teams already center operations on their SIEM for end-to-end visibility, and we’re advancing that foundation by evolving Microsoft Sentinel into both the SIEM and the platform for agentic defense—connecting analytics and context across ecosystems. And today, we’re introducing new platform capabilities that build on Sentinel data lake: Sentinel graph for deeper insight and context; Sentinel MCP server and tools to make data agent ready; new developer capabilities; and Security Store for effortless discovery and deployment—so protection accelerates to machine speed while analysts do their best work. Today, customers use a breadth of solutions to keep themselves secure. Each solution typically ingests, processes, and stores the security data it needs which means applications maintain identical copies of the same underlying data. This is painful for both customers and partners, who don’t want to build and maintain duplicate infrastructure and create data silos that make it difficult to counter sophisticated attacks. With today’s announcement, we’re directly addressing those challenges by giving partners the ability to create solutions that can reason over the single copy of the security data that each customer has in their Sentinel data lake instance. Partners can create AI solutions that use Sentinel and Security Copilot and distribute them in Microsoft Security Store to reach audiences, grow their revenue, and keep their customers safe. Sentinel already has a rich partner ecosystem with hundreds of SIEM solutions that include connectors, playbooks, and other content types. These new platform capabilities extend those solutions, creating opportunities for partners to address new scenarios and bring those solutions to market quickly since they don’t need to build complex data pipelines or store and process new data sets in their own infrastructure. For example, partners can use Sentinel connectors to bring their own data into the Sentinel data lake. They can create Jupyter notebook jobs in the updated Sentinel Visual Studio Code extension to analyze that data or take advantage of the new Model Context Protocol (MCP) server which makes the data understandable and accessible to AI agents in Security Copilot. With Security Copilot’s new vibe-coding capabilities, partners can create their agent in the same Sentinel Visual Studio Code extension or the environment of their choice. The solution can then be packaged and published to the new Microsoft Security Store, which gives partners an opportunity to expand their audience and grow their revenue while protecting more customers across the ecosystem. These capabilities are being embraced across our ecosystem by mature and emerging partners alike. Services partners such as Accenture and ISVs such as Zscaler and ServiceNow are already creating solutions that leverage the capabilities of the Sentinel platform. Partners have already brought several solutions to market using the integrated capabilities of the Sentinel platform: Illumio. Illumio for Microsoft Sentinel combines Illumio Insights with Microsoft Sentinel data lake and Security Copilot to revolutionize detection and response to cyber threats. It fuses data from Illumio and all the other sources feeding into Sentinel to deliver a unified view of threats, giving SOC analysts, incident responders, and threat hunters visibility and AI-driven breach containment capabilities for lateral traffic threats and attack paths across hybrid and multi-cloud environments. To learn more, visit Illumio for Microsoft Sentinel. OneTrust. OneTrust’s AI-ready governance platform enables 14,000 customers globally – including over half of the Fortune 500 – to accelerate innovation while ensuring responsible data use. Privacy and risk teams know that undiscovered personal data in their digital estate puts their business and customers at risk. OneTrust’s Privacy Risk Agent uses Security Copilot, Purview scan logs, Entra ID data, and Jupyter notebook jobs in the Sentinel data lake to automatically discover personal data, assess risk, and take mitigating actions. To learn more, visit here. Tanium. The Tanium Security Triage Agent accelerates alert triage using real-time endpoint intelligence from Tanium. Tanium intends to expand its agent to ingest contextual identity data from Microsoft Entra using Sentinel data lake. Discover how Tanium’s integrations empower IT and security teams to make faster, more informed decisions. Simbian. Simbian’s Threat Hunt Agent makes hunters more effective by automating the process of validating threat hunt hypotheses with AI. Threat hunters provide a hypothesis in natural language, and the Agent queries and analyzes the full breadth of data available in Sentinel data lake to validate the hypothesis and do deep investigation. Simbian's AI SOC Agent investigates and responds to security alerts from Sentinel, Defender, and other alert sources and also uses Sentinel data lake to enhance the depth of investigations. Learn more here. Lumen. Lumen’s Defender℠ Threat Feed for Microsoft Sentinel helps customers correlate known-bad artifacts with activity in their environment. Lumen’s Black Lotus Labs® harnesses unmatched network visibility and machine intelligence to produce high-confidence indicators that can be operationalized at scale for detection and investigation. Currently Lumen’s Defender℠ Threat Feed for Microsoft Sentinel is available as an invite only preview. To request an invite, reach out to the Lumen Defender Threat Feed Sales team. The updated Sentinel Visual Studio Code extension for Microsoft Sentinel The Sentinel Extension for Visual Studio code brings new AI and packaging capabilities on top of existing Jupyter notebook jobs to help developers efficiently create new solutions. Building with AI Impactful AI security solutions need access and understanding of relevant security data to address a scenario. The new Microsoft Sentinel Model Context Protocol (MCP) server makes data in Sentinel data lake AI-discoverable and understandable to agents so they can reason over it to generate powerful new insights. It integrates with the Sentinel VS Code extension so developers can use those tools to explore the data in the lake and have agents use those tools as they do their work. To learn more, read the Microsoft Sentinel MCP server announcement. Microsoft is also releasing MCP tools to make creating AI agents more straightforward. Developers can use Security Copilot’s MCP tools to create agents within either the Sentinel VS Code extension or the environment of their choice. They can also take advantage of the low code agent authoring experience right in the Security Copilot portal. To learn more about the Security Copilot pro code and low code agent authoring experiences visit the Security Copilot blog post on Building your own Security Copilot agents. Jupyter Notebook Jobs Jupyter notebooks jobs are an important part of the Sentinel data lake and were launched at our public preview a couple of months ago. See the documentation here for more details on Jupyter notebooks jobs and how they can be used in a solution. Note that when jobs write to the data lake, agents can use the Sentinel MCP tools to read and act on those results in the same way they’re able to read any data in the data lake. Packaging and Publishing Developers can now package solutions containing notebook jobs and Copilot agents so they can be distributed through the new Microsoft Security Store. With just a few clicks in the Sentinel VS Code extension, a developer can create a package which they can then upload to Security Store. Distribution and revenue opportunities with Security Store Sentinel platform solutions can be packaged and offered through the new Microsoft Security Store, which gives partners new ways to grow revenue and reach customers. Learn more about the ways Microsoft Security Store can help developers reach customers and grow revenue by visiting securitystore.microsoft.com. Getting started Developers can get started building powerful applications that bring together Sentinel data, Jupyter notebook jobs, and Security Copilot today: Become a partner to publish solutions to Microsoft Security Store Onboarding to Sentinel data lake Downloading the Sentinel Visual Studio Code extension Learn about Security Copilot news Learn about Microsoft Security Store
Announcing Microsoft Sentinel Model Context Protocol (MCP) server – Public Preview
Security is being reengineered for the AI era—moving beyond static, rulebound controls and after-the-fact response toward platform-led, machine-speed defense. The challenge is clear: fragmented tools, sprawling signals, and legacy architectures that can’t match the velocity and scale of modern attacks. What’s needed is an AI-ready, data-first foundation—one that turns telemetry into a security graph, standardizes access for agents, and coordinates autonomous actions while keeping humans in command of strategy and high-impact investigations. Security teams already center operations on their SIEM for end-to-end visibility, and we’re advancing that foundation by evolving Microsoft Sentinel into both the SIEM and the platform for agentic defense—connecting analytics and context across ecosystems. And now, we’re introducing new platform capabilities that build on Sentinel data lake: Sentinel graph for deeper insight and context; an MCP server and tools to make data agent ready; new developer capabilities; and Security Store for effortless discovery and deployment—so protection accelerates to machine speed while analysts do their best work. Introducing Sentinel MCP server We’re excited to announce the public preview of Microsoft Sentinel MCP (Model Context Protocol) server, a fully managed cloud service built on an open standard that lets AI agents seamlessly access the rich security context in your Sentinel data lake. Recent advances in large language models have enabled AI agents to perform reasoning—breaking down complex tasks, inferring patterns, and planning multistep actions, making them capable of autonomously performing business processes. To unlock this potential in cybersecurity, agents must operate with your organization’s real security context, not just public training data. Sentinel MCP server solves that by providing standardized, secure access to that context—across graph relationships, tabular telemetry, and vector embeddings—via reusable, natural language tools, enabling security teams to unlock the full potential of AI-driven automation and focus on what matters most. Why Model Context Protocol (MCP)? Model Context Protocol (MCP) is a rapidly growing open standard that allows AI models to securely communicate with external applications, services, and data sources through a well-structured interface. Think of MCP as a bridge that lets an AI agents understand and invoke an application’s capabilities. These capabilities are exposed as discrete “tools” with natural language inputs and outputs. The AI agent can autonomously choose the right tool (or combination of tools) for the task it needs to accomplish. In simpler terms, MCP standardizes how an AI talks to systems. Instead of developers writing custom connectors for each application, the MCP server presents a menu of available actions to the AI in a language it understands. This means an AI agent can discover what it can do (search data, run queries, trigger actions, etc.) and then execute those actions safely and intelligently. By adopting an open standard like MCP, Microsoft is ensuring that our AI integrations are interoperable and future-proof. Any AI application that speaks MCP can connect. Security Copilot offers built-in integration, while other MCP-compatible platforms can leverage your Sentinel data and services can quickly connect by simply adding a new MCP server and typing Sentinel’s MCP server URL. How to Get Started Sentinel MCP server is a fully managed service now available to all Sentinel data lake customers. If you are already onboarded to Sentinel data lake, you are ready to begin using MCP. Not using Sentinel data lake yet? Learn more here. Currently, you can connect to the Sentinel MCP server using Visual Studio Code (VS Code) with the GitHub Copilot add-on. Here’s a step-by-step guide: Open VS Code and authenticate with an account that has at least Security Reader role access (required to query the data lake via the Sentinel MCP server) Open the Command Palette in VS Code (Ctrl + Shift + P) Type or select “MCP: Add Server…” Choose “HTTP” (HTTP or Server-Sent Event) Enter the Sentinel MCP server URL: “https://sentinel.microsoft.com/mcp/data-exploration" When prompted, allow authentication with the Sentinel MCP server by clicking “Allow” Once connected, GitHub Copilot will be linked to Sentinel MCP server. Open the agent pane, set it to Agent mode (Ctrl + Shift + I), and you are ready to go. GitHub Copilot will autonomously identify and utilize Sentinel MCP tools as necessary. You can now experience how AI agents powered by the Sentinel MCP server access and utilize your security context using natural language, without knowing KQL, which tables to query and wrangle complex schemas. Try prompts like: “Find the top 3 users that are at risk and explain why they are at risk.” “Find sign-in failures in the last 24 hours and give me a brief summary of key findings.” “Identify devices that showed an outstanding amount of outgoing network connections.” To learn more about the existing capabilities of Sentinel MCP tools, refer to our documentation. Security Copilot will also feature native integration with Sentinel MCP server; this seamless connectivity will enhance autonomous security agents and the open prompting experience. Check out the Security Copilot blog for additional details. What’s coming next? The public preview of Sentinel MCP server marks the beginning of a new era in cybersecurity—one where AI agents operate with full context, precision, and autonomy. In the coming months, the MCP toolset will expand to support natural language access across tabular, graph, and embedding-based data, enabling agents to reason over both structured and unstructured signals. This evolution will dramatically boost agentic performance, allowing them to handle more complex tasks, surface deeper insights, and accelerate protection to machine speed. As we continue to build out this ecosystem, your feedback will be essential in shaping its future. Be sure to check out the Microsoft Secure for a deeper dive and live demo of Sentinel MCP server in action.Cyber Dial Agent: Protecting Your Custom Copilot Agents
Introducing…the Cyber Dial Agent; a browser add-on and agent that streamlines security investigations by providing analysts with a unified, menu-driven interface to quickly access relevant pages in Microsoft Defender, Purview, and Defender for Cloud. This tool eliminates the need for manual searches across multiple portals, reducing investigation time and minimizing context switching for both technical and non-technical users. Visit the full article “Safeguard & Protect Your Custom Copilot Agents (Cyber Dial Agent)” in the Microsoft Purview Community Blog. You’ll access detailed, visual, step-by-step guides on all of the following: Importing the agent that was built via Microsoft Copilot Studio solution into another tenant and publishing it afterward To add your browser add-on solution in Microsoft Edge (or any modern browser) Using Purview DSPM for AI to Secure (Cyber Dial Custom Agent) Copilot Studio Agents Read the full article by Hesham_Saad.
