Continuous Privacy, Security and Governance for Azure environments

Enable consistent governance and security across your Azure platform.

Deep Data Discovery & Classification

Privacera can automatically profile and scan 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 classification is stored in the Privacera catalog.

Access Management - Fine Grained Access Control

Privacera enables column, row and file level access control in Azure HDInsight, Azure data lake store, SQL Warehouse and many other Azure services. Privacera leverages Apache Ranger to provide centralized access policies and enforce it across SQL, No SQL and other workloads in Azure.


Privacera can help with de-identifying sensitive data with masking or encryption methods. Data could be anonymized before it is stored in the cloud storage. When data is accessed in HD Insight or other services, Privacera can dynamically de-anonymize the data based on user level policies.

Integrate with your favorite Azure service

Privacera support Data Discovery, Access Management, Anonymization in the following Azure services:

Security and Governance platform of choice

Single pane of glass for managing secure access to data across Azure services.

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 imperatives with the need to use data

Privacera integrates seamlessly with Azure cloud and provides continuous security and privacy across the stack.

Integrate with Azure services

Privacera discover configuration and natively integrates with Databricks, Azure Data Lake Store 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 Spark, Hive, HBase, as well as in databases such as SQL Server.

Scan, profile all data in storage and in databases

Privacera scans and profiles any new data landing in cloud storage and across databases created in Azure. Privacera can run on a Databricks or a Azure HD Insight cluster and uses rules, machine learning to accurately identify a specific data type and apply tags.

Anonymize and de-anonymize data in Azure.

Privacera can help with privacy and security regulations by anonymizing sensitive data as it is stored in the cloud and accessed using Spark, Hive or any other cloud services. The data can be de-anonymized for select users based on a policy.

Frequently Asked Questions

How does Privacera enforce Access Control?

Privacera plugins, based on Apache Ranger, can enforce fine grained access control in spark, Hive, 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 schedule to scan data?

Privacera discovery engine constantly monitors Azure storage for new files and also databases for new tables created. In case new data is detected, Privacera discovery engine is automatically triggered and scans the new file or table.

Is Privacera integrated with Azure Data Catalog?

Privacera solution can work across any metadata store for Azure, including Azure Data Catalog. Privacera synchronizes and stores the data classification in its own store and can enable tag based access policies based on the data classification.

Resources & Latest News


Security and Privacy for modern data platforms

This paper walks through how security and privacy can be enabled for big data and cloud environments using Privacera.

Get Started Today

Contact us to learn more about Privacera for Azure and get a free risk assessment.