Source URL: https://www.microsoft.com/en-us/security/blog/2025/09/16/microsoft-purview-innovations-for-your-fabric-data-unify-data-security-and-governance-for-the-ai-era/
Source: Microsoft Security Blog
Title: Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era
Feedly Summary: The Microsoft Fabric and Purview teams are thrilled to participate in the European Microsoft Fabric Community Conference Sept. 15-18, 2025 in Vienna, Austria. The event is Microsoft’s largest tech conference in Europe, where data professionals gather to connect and share insights on data, security, governance, and AI transformation. With over 130 breakout sessions, 10 workshops, and 2 keynotes, the conference is a hub for exploring the future of data and AI.
The post Microsoft Purview innovations for your Fabric data: Unify data security and governance for the AI era appeared first on Microsoft Security Blog.
AI Summary and Description: Yes
Summary: The text discusses Microsoft’s involvement in the upcoming European Microsoft Fabric Community Conference, emphasizing innovations in Microsoft Purview that enhance data security and governance, especially in the context of AI. Key takeaways include the critical relationship between data quality and AI effectiveness, and how Microsoft Purview integrates various security and governance tools to address data risks.
Detailed Description:
The content focuses on Microsoft’s contributions to data security, governance, and AI advancements, as highlighted during the upcoming European Microsoft Fabric Community Conference. Below are the major points extracted from the text:
– **Event Overview**:
– Microsoft is participating in a significant tech conference (European Microsoft Fabric Community Conference) where data professionals will convene to share insights on data, security, governance, and AI transformation.
– **Significance of Data in AI**:
– The effectiveness of AI systems is directly tied to the quality of the data input. Inaccurate or flawed data can lead to incorrect outputs, data leaks, and a general erosion of trust in AI solutions.
– **Challenges with Data Security**:
– Many organizations struggle with data security and governance due to relying on disparate point solutions, complicating the management of data across various platforms.
– **Microsoft Purview Solutions**:
– **Unified Approach**: Microsoft Purview aims to provide a unified solution for data security, governance, and compliance across diverse data environments, including Azure and Microsoft 365.
– **Innovations Announcements**: New features announced for Purview include:
– Data Loss Prevention (DLP) policies.
– Insider Risk Management metrics tailored for applications like Power BI.
– Data Risk Assessments designed to detect oversharing and vulnerability in data across the organization.
– **Importance of Data Discovery and Quality**:
– Microsoft Purview provides tools that facilitate the discovery, governance, and quality of data. Enhancements to the Unified Catalog help users easily locate and trust data for AI projects, reinforcing the need for data accuracy.
– **Examples of Features**:
– The ability to view detailed metadata at granular levels.
– Custom attributes for data assets that improve discoverability and usability.
– Mechanisms for identifying and addressing data quality issues directly within the data management workflows.
– **Conclusion**:
– As the landscape of AI evolves, so does the importance of robust data governance and security infrastructures. Microsoft’s innovations in Purview and Fabric are designed to help organizations navigate the complexities of AI utilization while ensuring data safety and integrity.
In summary, this comprehensive examination of Microsoft’s Purview innovations illustrates the essential integration of data governance and security in a modern landscape increasingly driven by AI developments. Compliance professionals, data engineers, and AI developers would benefit from understanding these advancements to ensure better data stewardship within their organizations.