Protecting data has never been more important, yet it's becoming increasingly complex. Microsoft Purview helps simplify data protection and enables a people-centric approach to security. The blog post, "Introducing Adaptive Protection in Purview—People-centric data protection for a multiplatform world," introduces Adaptive Protection, a machine learning-power feature in Purview that automates security responses and adapts to new threats in real-time. Read the blog to discover how Purview can help your organization protect sensitive data across multiple platforms.
What is Adaptive Protection in Microsoft Purview?
Adaptive Protection in Microsoft Purview is a machine learning-powered solution designed to provide a dynamic and tailored approach to Data Loss Prevention (DLP). It analyzes user interactions with data to identify risky activities that could lead to data security incidents. By automatically adjusting DLP controls based on detected risks, it ensures that high-risk users face stricter policies while allowing low-risk users to maintain productivity.
How does Adaptive Protection improve security operations?
Adaptive Protection streamlines security operations by reducing the workload on security teams. Instead of manually adjusting policies for users based on their roles or activities, the system automatically applies appropriate DLP policies based on real-time risk assessments. This allows security teams to focus on strategic initiatives rather than getting bogged down in constant policy management.
What are the benefits of using machine learning in data protection?
The integration of machine learning in Adaptive Protection enables organizations to respond dynamically to data security risks. By continuously analyzing user behavior and adjusting DLP policies accordingly, it helps prioritize security resources on the highest risks. This not only enhances protection against potential data breaches but also supports workplace productivity by minimizing unnecessary restrictions on low-risk users.