In the era of AI and data-driven decisions, data security is not a luxury but a necessity. In this session, you’ll learn how companies use Microsoft Purview to move from theory to practice—step by step. The goal is to build a foundational understanding of data governance and inspire you to take the first steps toward secure AI adoption—without overwhelm, but with a clear purpose.

Get a concise overview of Microsoft Purview as a central platform for data security, risk and compliance management, and data governance. We share our practical experiences and key insights from customer projects involving the platform tools—and demonstrate through our best practices how you can identify and eliminate risks for your organization early and effectively. Special focus is placed on the use of Insider Risk Management (IRM), combined with the glueckkanja approach, to quickly generate measurable value in data security initiatives.

We’ll show you how to prepare your data landscape for the use of Copilot, Agents, and other generative AI services. You’ll learn how to identify potential data sources, understand which AI applications and services can access this data, and grasp the challenges of oversharing and data travelling. You’ll also gain insight into the functionality of DSPM for AI—for protecting sensitive data and enabling proactive monitoring of AI usage.

How can you continuously improve the security of your data? What are the prerequisites for running Microsoft Purview reliably? And is reacting to incidents alone sufficient? We answer these questions by presenting our holistic strategy for the ongoing protection and management of sensitive and business-critical data. We highlight the typical challenges in planning the operational use of Microsoft Purview—and how to overcome them. Through concrete insights into our Data Security Service, we outline how the operational management of Microsoft Purview by glueckkanja can directly relieve your organization—with clear responsibilities, enhanced data security, and measurable value.