Data security isn't just about technology—it starts with people. Too often, organizations rush into implementing technical solutions without first addressing a fundamental question: do we truly know our data? In this session, we will emphasize the critical importance of identifying and classifying data, while ensuring that human input is incorporated to create a schema that truly fits the organization's needs and can be successfully adopted We will explore how to define sensitive information and develop an effective classification schema, but more importantly, how to ensure these processes are shaped by the input of the people who will use them. By integrating human input, we create a classification schema that is both practical and effective, ensuring stronger data security and keeping sensitive information safe. This session offers practical insights for a balanced approach, where user involvement is just as critical as the technology being implemented.

Microsoft Copilot for Microsoft 365 offers innovative tools that boost productivity, awesome! But, we must see that it also introduces new data security and governance challenges. This session will outline how to implement a strong data security strategy to address risks and ensure responsible Copilot use. We will cover the key data security challenges posed by Copilot for M365, such as safeguarding sensitive information and preventing unauthorized access. Learn best practices for setting up a data security solution tailored to AI integration, including effective classification schemes and compliance measures. Additionally, we'll discuss the importance of training employees and fostering a culture of responsible data use. Join to gain practical insights and strategies for integrating Copilot safely and effectively within your organization.