Secure every byte.
Pass every audit.
Map your entire data estate in real time: automated discovery, sensitive-data classification and end-to-end lineage that stand up to GDPR, HIPAA and SOX.
Governance by design, not afterthought
Data volumes are exploding. Regulations are tightening. Without governance, insight becomes guesswork. We embed governance into every stage of the data lifecycle, not bolt it on at the end.
Ingestion
Where data enters
- Source lineage
- Data contracts
- Schema evolution control
Landing zone
Where it is kept safe
- Network isolation
- Role-based access
- Policy enforcement
Lakehouse
Where it is refined
- Unity Catalog or OneLake security
- Row and column-level access
- Classification and masking
Data models
Where it gets meaning
- Semantic consistency
- Governed measures
- Documented definitions
Consumption
Where it is used
- Role-based access
- Sensitivity labels
- Audit trails
Microsoft Purview, across every stage
- Data Map scanning
- Unified Catalog
- Classification
- End-to-end lineage
- Audit
Governance without guesswork
Purview is the control tower for your modern data estate. Whether your data lives in Azure, across clouds or in SaaS platforms, it gives you one governance experience that turns complexity into clarity.
Discover what you own
Automatically scan and classify on-premises, cloud and SaaS data into a real-time, searchable map, including sensitive data types and business metadata.
Govern with precision
Stewards, security and compliance teams define access policies, classifications and retention rules, enforced at scale rather than stitched together by hand.
Trust every decision
A self-service catalogue with clear lineage, ownership and definitions, so analysts, engineers and business users move faster with fewer risks.
“With Purview, governance becomes an enabler, not a blocker, for insight, compliance and innovation.”
Security, governance and compliance together
Purview brings three areas that used to be separate tools under one roof, each built for the people who own it.
Data security
ForInformation and cybersecurity teams
- Information Protection and sensitivity labels
- Data Loss Prevention
- Insider Risk Management
Data governance
ForData consumers, engineers and data officers
- Data Map scanning and classification
- Unified Catalog of data products
- Data quality and lineage
Risk and compliance
ForRisk, compliance and legal teams
- Compliance Manager
- Audit and eDiscovery
- Data Lifecycle Management
Unity Catalog and OneLake security
Purview sees across the whole estate. Inside the platforms, Unity Catalog and OneLake security decide who can see which tables, rows and columns, and in Databricks, which models and AI services, every time a query runs.
Azure Databricks
Unity Catalog
One governance layer for data and AI.
- Tables, volumes, functions, models and AI services governed in one catalogue
- Privileges, tag-based access policies, row filters and column masks
- Automatic lineage from source data through to models, services and dashboards
- Sensitive data classified and tagged automatically, with an audit log in system tables
- Data quality monitoring that catches anomalies before they reach consumers
- AI Gateway to govern access to models and AI traffic
Microsoft Fabric
OneLake security
Define access once, enforced in every engine.
- Roles defined on a lakehouse or warehouse, scoped to folders, tables, schemas, rows and columns
- Enforced consistently across every Fabric compute engine, not configured per tool
- Row-level and column-level security on tables
- Microsoft Entra users, groups and service identities as role members
- Shortcuts honour the roles where the data is stored
- OneLake diagnostics and the Fabric audit log record who accessed what
How they fit together: Purview catalogues, classifies and tracks lineage across the whole estate, Databricks and Fabric included. Unity Catalog and OneLake security enforce access where the data is queried. We design the roles once and line them up across all three.
Not just metadata. Meaning, movement and trust.
For business and technical users
Search by meaning, not just metadata. Analysts, product owners and engineers cut through the noise to the data that is actually relevant, fast.
For data stewards
Curate the estate: enterprise glossaries, automated tagging and business context applied consistently, at scale and without manual overhead.
For everyone: end-to-end lineage
From on-premises systems through cloud warehouses to Power BI dashboards, a visual map of how data moved and changed, so you can trust where it came from.
Deploy, configure, support
Deployment
Microsoft Purview set up on Azure, whether you need multiple environments (DEV, TEST, PROD) or a fully secured implementation.
Configuration
Your estate connected and scanned: Power BI, Fabric, Databricks, SQL Server and on-premises sources, with classifications and glossary in place.
Support
Fractional team members and trusted advisers, there when an audit, an incident or a new source lands.
