Microsoft Purview is a unified platform for data governance, data security, risk management, and compliance across your entire data estate – including hybrid, on-premises, multicloud, and SaaS environments.
Instead of stitching together separate point solutions for data security, governance, and compliance, Purview gives you a single, integrated approach that helps you:
- Understand and govern your data with tools like:
- Microsoft Purview Data Map to automatically scan, classify, and map metadata across analytics, SaaS, and operational systems.
- Microsoft Purview Data Catalog so business users can easily discover curated, high-value data assets using business-friendly terms.
- Microsoft Purview Data Policy to define and automate access, movement, and sharing policies across data sources.
- Secure data throughout its lifecycle by:
- Automatically discovering, labeling, and protecting sensitive data with Microsoft Purview Information Protection – across apps, devices, SaaS, and both cloud and on-premises environments.
- Reducing data leakage with Data Loss Prevention (DLP) policies that work across endpoints, apps, services, and on-premises files.
- Using Insider Risk Management with machine learning to correlate signals and flag potential insider risks.
- Improve risk and compliance posture by:
- Automating classification and retention at scale with Data Lifecycle Management (including support for 90+ sensitive info types and machine learning).
- Managing records in unalterable, compliant formats with Records Management.
- Running end-to-end legal and internal investigations with eDiscovery and Audit capabilities.
- Monitoring communications and AI-generated content for policy violations with Communication Compliance.
- Continuously tracking your compliance posture with Compliance Manager and its pre-built assessments and risk-based compliance score.
For security, compliance, and data teams, Purview helps simplify vendor management, reduce manual work through AI and automation, and provide a unified view of data risk and usage across the organization. That combination makes it easier to protect critical data, close exposure gaps, and support analytics and AI initiatives with confidence.