Episode

Labeling Files is Worth It | Speed & Protection Benefits in Microsoft Purview

Podcast
Microsoft Mechanics Podcast
Published
Mar 25, 2026
Duration seconds
937
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https://microsoftmechanics.libsyn.com/labeling-files-is-worth-it-speed-protection-benefits-in-microsoft-purview
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Markdown
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Summary

Take control of your data by discovering sensitive information across every file type and location with Microsoft Purview Information Protection. Classify your data, apply clear labels, and enforce protections that automatically adapt to human and AI interactions so you can reduce risk without slowing down workflows. Proactively monitor, assess, and respond to risk in real time. Use labeling and layered policies to stop accidental sharing, manage AI access, and maintain consistent protection across your organization. Matt McSpirit, Microsoft Mechanics expert, joins Jeremy Chapman to share how to turn scattered data into actionable security that moves as fast as your team and AI. ► QUICK LINKS: 00:00 - Microsoft Purview data protection 01:04 - Data Loss Prevention 03:36 - Layered approach in addition to DLP 04:13 - Unified classification 04:27 - How sensitive data is determined 06:23 - Create trainable classifiers 07:06 - Distinction between classification and labeling 08:06 - Configure policy protections 09:12 - DLP in action 10:10 - IRM in action 10:51 - See how protections show up 13:37 - Move from reactive to proactive protection 15:00 - Wrap up ► Link References For deeper guidance, go to https://aka.ms/PurviewInformationProtection ► 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/…