Continuous Security, Privacy and Governance for Microsoft Azure

Enable consistent governance and security across Microsoft Azure and your favorite Azure services.

Deep Data Discovery & Classification

Privacera automatically profiles and scans data in Azure Data Lake Store (ADLS) as well as across tables/schema created in SQL Server and other databases running on Azure. The files and tables are tagged and the data classifications are stored in the Privacera catalog.

Fine-Grained Access Control

Privacera enables row, column and file-level access control in Azure HDInsight, Azure Data Lake Store, SQL Data Warehouse and many other Azure services. Privacera leverages Apache Ranger to enforce centralized access policies across SQL, NoSQL and other workloads in Azure.

Data Anonymization and Masking

Privacera de-identifies sensitive data with masking or encryption methods. Data can be anonymized before it lands on Azure or Privacera can dynamically de-anonymize the data based on user-level policies when it is accessed in HDInsight and other Azure services.

Privacera Integrates with Your Favorite Azure Services

Privacera supports data security, privacy and governance across the following Azure services.

Security and Governance Platform of Choice

Manage secure access to data across Azure services from a single pane of glass.

Get visibility into and gain a deep understanding of sensitive data across the Azure platform.

Comply with privacy and security regulations such as CCPA, GDPR and others.

Balance Governance and Security with the Need to Use Data for Analytics

Privacera integrates seamlessly with Microsoft Azure and provides continuous security and privacy across the stack, including enabling data anonymization and masking for analytics.

Integrate with Azure services

Privacera natively integrates with Azure Data Lake Store, Azure Databricks and other cloud services.

Enable Centralized Policies

Privacera enables centralized access control using Apache Ranger across Azure HDInsight, ADLS and other Azure services. Privacera enables row and column-level access control in Apache Spark, Apache Hive, Apache HBase, as well as databases such as SQL Server.

Scan and Profile All Data in Azure Storage and Other Azure Databases

Privacera scans and profiles any new data landing in Azure Storage and across databases created in Azure. Privacera can run on a Databricks or an HDInsight cluster and uses machine learning and rules to accurately identify specific data types and apply tags.

Anonymize and De-Anonymize Data in Azure.

Privacera enables compliance with privacy and security regulations by anonymizing sensitive data as it is stored in Azure and accessed using Apache Spark, Apache Hive or other cloud services. The data can be de-anonymized for select users based on given policies.

Frequently Asked Questions

How does Privacera enforce access control?

Privacera plugins, based on Apache Ranger, enforce fine-grained access control in Apache Spark, Apache Hive, Apache HBase as well as in traditional databases such as SQL Server. Policies are managed centrally in the policy UI and enforced using Privacera plugins or dataserver (proxy).

Does Privacera discovery need to be scheduled to scan data?

Privacera discovery engine constantly monitors Azure Storage for new files and databases for new tables. When new data is detected, the Privacera discovery engine is automatically triggered and scans the new file or table.

Is Privacera integrated with Azure Data Catalog?

Privacera works across any metadata store for Microsoft Azure, including Azure Data Catalog. Privacera synchronizes and stores data classifications in its own metadata store and enables tag-based access policies based on data classifications.

Resources & Latest News


Security and Privacy for Modern Data Platforms

Learn how to enable comprehensive security, privacy and governance in big data and cloud environments using Privacera.

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