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Developers ship fast—but AI apps can overshare data and create compliance risks. Learn why data security and compliance must be built in from day one, and how to align with enterprise policies without reinventing controls. We’ll walk through common leakage paths, key guardrails, and how integrating app and agent development with Microsoft Purview can help your team move from prototype to production with confidence.
To learn more, please check out these resources:
* https://aka.ms/build26-next-steps
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Arpitha Dhanapathi
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
OD829 | English (US) | Cloud platform & data
Pre-recorded | (200) Intermediate
#MSBuild
Chapters:
0:00 – Introduction by Arpitha Dhanapathi and overview of safeguarding data using Microsoft Purview
00:00:22 – Enterprise concerns about generative AI risks and data leakage statistics
00:01:40 – Mapping data security concerns to developer challenges
00:02:29 – Introduction to Microsoft Purview and collaboration with Financial Services Industry for AI security standards
00:03:45 – Purview as foundational trust layer for developers – integrated governance and simplified development
00:05:27 – Paths to trusted AI – Purview integration for Microsoft and third-party AI scenarios
00:07:05 – Demo: AI observability and the Purview portal for Data Security Posture Management
00:09:02 – Exploring Insider Risk Management, Compliance Manager, and Communication Compliance features
00:11:04 – Introducing real-time Data Loss Prevention for Microsoft Foundry
00:17:00 – Extending Purview protection to local agents and closing summary – trust built-in, unified policy layer, faster deployment Read More Microsoft Developer
