Microsoft Mechanics Podcast
Build secure, compliant AI apps with code-based controls that dynamically respond to user context using Microsoft Purview for AI app developers. With built-in protections, prevent data leaks, block unsafe prompts, and avoid oversharing without rewriting your app. As a developer, focus on innovation while meeting evolving security and compliance requirements. And as a security admin, gain full visibility into AI data interactions, user activity, and policy enforcement across environments. Shilpa Ranganathan, Microsoft Purview Principal GPM, shares how new SDKs and Azure AI Foundry integrations...
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Get ahead of issues before they impact your users by using real-time data and AI-powered insights with Microsoft Intune. Proactively manage and secure all your devices—whether they run Windows, macOS, iOS, or Android. With cross-platform analytics, multi-device queries, and in-depth troubleshooting tools, you can pinpoint problems fast and take targeted action at scale. Even without deep technical expertise, you can generate complex queries, identify vulnerabilities, and deploy remediations—all in a few clicks. With built-in Copilot support, daily tasks like policy validation, device...
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Boost data security and automate prioritization for data alerts with Security Copilot-powered Alert Triage Agents for Microsoft Purview Data Loss Prevention and Insider Risk Management. Surface the highest-risk alerts across your environment, no matter their default severity, and take action. Customize how your agents reason, teach them what matters to your organization, and continuously refine to reduce time-to-resolution. Talhah Mir, Microsoft Purview Principal GPM, shows how to triage, investigate, and contain potential data risks before they escalate. ► QUICK LINKS: - Agents in...
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Strengthen your security posture in Microsoft Entra by following prioritized Secure Score recommendations. Enforce MFA, block legacy authentication, and apply risk-based Conditional Access policies to reduce exposure from stale accounts and weak authentication methods. Use built-in tools for user, group, and device administration to detect and clean up identity sprawl—like unused credentials, inactive accounts, and expired apps—before they become vulnerabilities. Jeremy Chapman, Microsoft 365 Director, shares steps to clean up your directory, strengthen authentication, and improve overall...
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Streamline your entire data workflow, from real-time change capture to querying across cloud and on-prem databases, without complex migrations or code changes using SQL Server 2025. This adds deep AI integration with built-in vector search and DiskANN optimizations, plus native support for large object JSON and new Change Event Streaming for live data updates. Join and analyze data faster with the Lakehouse shortcuts in Microsoft Fabric that unify multiple databases—across different SQL Server versions, clouds, and on-prem—into a single, logical schema without moving data. Build...
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Build and run your AI apps and agents at scale with Azure. Orchestrate multi-agent apps and high-scale inference solutions using open-source and proprietary models, no infrastructure management needed. With Azure, connect frameworks like Semantic Kernel to models from DeepSeek, Llama, OpenAI’s GPT-4o, and Sora, without provisioning GPUs or writing complex scheduling logic. Just submit your prompt and assets, and the models do the rest. Using Azure’s Model as a Service, access cutting-edge models, including brand-new releases like DeepSeek R1 and Sora, as managed APIs with autoscaling and...
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Create fine-tuned, task-specific models that write like you by teaching models using expert knowledge, tone, and structure - with reference information directly attached to the models themselves using Microsoft 365 Copilot Tuning. Fine-tuning adds new skills to foundational models, simulating experience in the tasks you teach the model to do. This complements Retrieval Augmented Generation, which in real-time uses search to find related information, then add that to your prompts for context. Fine-tuning helps ensure that responses meet your quality expectations for specific repeatable tasks,...
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Manage the rise of generative AI across your organization using the Copilot Control System in Microsoft 365. Control who can find, use, and create agents, define permissions, approve or block agent deployments, and configure billing models including pay-as-you-go or prepaid options. Get detailed visibility into how agents are used, which users and groups are driving consumption, and how much they’re costing you. With Microsoft Purview integration, monitor for sensitive data exposure, track compliance risks, and audit agent activity to stay secure and aligned with your organization’s data...
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Stay in control as GenAI adoption accelerates across your organization using Data Security Posture Management for AI in Microsoft Purview. With built-in visibility into how AI apps and agents interact with sensitive data—whether inside Microsoft 365 or across unmanaged consumer tools—you can detect risks early, take decisive action, and enforce the right protections without slowing innovation. Monitor usage trends, investigate prompts and responses, and respond to potential data oversharing or policy violations in real time. From compliance-ready audit logs to adaptive data protection,...
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Unify and secure your data—no matter where it lives—without sacrificing control using OneLake security, part of Microsoft Fabric. With granular permissions down to the row, column, and table level, you can confidently manage access across engines like Power BI, Spark, and T-SQL, all from one place. Discover, label, and govern your data with clarity using the integrated OneLake catalog that surfaces the right items fast. Aaron Merrill, Microsoft Fabric Principal Program Manager, shows how you can stay in control, from security to discoverability—owning, sharing, and protecting data on...
info_outlineCreate agentic solutions quickly and efficiently with Azure AI Foundry. Choose the right models, ground your agents with knowledge, and seamlessly integrate AI into your development workflow—from early experimentation to production. Test, optimize, and deploy with built-in evaluation and management tools. See how to leverage the Azure AI Foundry SDK to code and orchestrate intelligent agents, monitor performance with tracing and assessments, and streamline DevOps with production-ready management.
Yina Arenas, from the Azure AI Foundry team, shares its extensive capabilities as a unified platform that supports you throughout the entire AI development lifecycle.
► QUICK LINKS:
00:00 - Create agentic solutions with Azure AI Foundry
00:20 - Model catalog in Azure AI Foundry
02:15 - Experiment in the Azure AI Foundry playground
03:10 - Create and customize agents
04:13 - Assess and improve agents
05:58 - Monitor and manage apps
06:50 - Create a multi-agentic app in code
09:26 - Create a Sender agent
10:39 - How to connect orchestration logic
11:25 - Watch agents work
12:26 - Wrap up
► Link References Get started with Azure AI Foundry at https://ai.azure.com
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