Secure Your Copilot Studio Deployments by Aroh Shukla [m365con.net] скачать в хорошем качестве

Secure Your Copilot Studio Deployments by Aroh Shukla [m365con.net]

Don’t Let Your Copilot Leak Data! ⚠️ In this deep dive, we explore essential strategies to secure your Copilot Studio deployments and protect your enterprise information from unauthorized access and exfiltration. As organizations rapidly adopt Generative AI, the landscape of Microsoft 365 is shifting toward an era of intelligent agents. However, deploying these powerful tools without a robust security framework can expose your business to significant risks. In this session from the VM365C conference, Aroh Shukla takes the Azure and Entra stage to demonstrate exactly how to build, manage, and secure AI agents using Microsoft Copilot Studio. The presentation begins by demystifying the foundational concepts of AI agents, moving beyond the hype to focus on the basics that every IT professional must master. You will gain a clear understanding of the different personas involved in AI adoption—from end-users and power users to pro-code developers—and how the architecture of an agent functions, including the Large Language Model (LLM), the Orchestrator (the brain), and the user experience layer. Aro provides a transparent look at the often-confusing licensing models for Copilot Studio, breaking down the differences between standard Microsoft 365 Copilot entitlements, pay-as-you-go meters, and credit packs, ensuring you understand the cost implications of scaling your AI infrastructure. Security is the paramount theme of this discussion. The session transitions into a practical, hands-on demonstration of how to harden your bots against threats. You will see how to configure authentication settings within Copilot Studio, choosing between manual Azure Active Directory (Entra ID) validation for internal employees and other authentication flows for public-facing scenarios. Beyond the agent configuration, the video explores the backend power of Microsoft Purview. Aro illustrates how Purview acts as a critical compliance layer, allowing administrators to monitor AI activity, set up Data Loss Prevention (DLP) policies, and perform audit searches to detect potential data leakage or suspicious interactions. You will learn how to use the "AI Hub" within Purview to gain visibility into how sensitive data is being accessed and processed by your custom copilots. About the Speaker: Aroh Shukla is a recognized expert in the Microsoft Power Platform and AI ecosystem. With a background supporting massive enterprise deployments—including large telecommunications companies with over 50,000 seats—Aroh brings a wealth of real-world field experience. His approach focuses on mastering the basics to handle complex architectures, making him a trusted voice for architects and security professionals looking to implement governance in their AI strategies. What You Will Learn: Agent Architecture: Understanding the relationship between LLMs, the Orchestrator, and Knowledge bases. Licensing Clarity: A breakdown of costs, credits, and subscription models for Copilot Studio. Security Configuration: How to set up proper authentication and authorization for your bots. Governance with Purview: utilizing audit logs, DLP policies, and activity explorers to monitor AI risk. Deployment Strategies: Best practices for publishing agents to Microsoft Teams and other channels securely. If you are an IT administrator, security officer, or developer working with Microsoft’s low-code AI tools, this session provides the blueprint you need to innovate safely. If you found this video valuable, please hit the like button and consider subscribing to the channel for more expert insights on Azure, Microsoft 365, and enterprise security. Share your thoughts or questions about AI governance in the comments below! #copilotlicensingguide #copilotdeploymenttips #aidataleakage #azureentrasecurity #microsoftaiagents CHAPTERS: 00:00 - AI Agents Introduction 02:16 - Generative AI Basics 04:48 - Defining AI Agents 09:25 - Custom AI Personas 11:16 - Microsoft AI Licensing 18:26 - Enterprise AI Use Cases 20:06 - AI Agent Architecture 25:17 - AI Security Governance 29:30 - Microsoft Purview Integration 31:18 - Building Power Virtual Agents 37:34 - Agent Security Protocols 42:30 - User Authorization Settings 44:10 - Multilingual AI Support 45:00 - Data Protection Measures 52:54 - AI Expert Q&A 54:10 - Conclusion & Summary