Privitar Publisher TM

Extract value from your sensitive data by adopting a consistent approach to privacy management through pattern-preserving data de-identification.



Understand more about enterprise data privacy protection with Privitar Publisher in our overview here

State-of-the-art privacy engineering techniques


Maximise both privacy and utility of your datasets, consistently and across multiple environments, with state-of-the-art and repeatable privacy engineering techniques, including data masking, automated statistical generalisation (e.g. k-anonymity) and format-preserving tokenisation.

Privacy Engineering Tools
Publisher Stack




Engineered for Data-Driven Organisations

Running on premise, cloud, multi-cloud and hybrid environments, Privitar Publisher’s algorithms are designed to be highly scalable, and can be executed on a variety of processing engines, such as Hadoop clusters or streaming data flow platforms, to process data at rest and in motion.


Privacy governance simplified 

The easy to use management interface allows non-technical users to author, review and manage data protection policies. By integrating with major enterprise metadata catalogues Privitar Publisher enables the tracking of data lineage, the recording the history of data transformations, and automation of access control and data lifecycle management.

Publisher Policy Manager
PDDS overview


Data risk management 

Protected Data Domains (PDDs) are containers for data releases that reduce your risk exposure and enable secure data usage that scales across your organisation.

  • PDDs offer fine-grained control over data consistency and referential integrity: data published into different PDDs cannot be linked directly, preventing collusion between recipients.
  • PDDs allow data owners to record the history of data releases, by capturing metadata such as their recipients, approvers or expiry dates.



Trusted sharing of sensitive data  

Distributed datasets held by different business units, regions or independent organisations can be securely joined by a coordinating central party, while never disclosing identity-revealing linking identifiers, allowing insights to be safely obtained from rich, combined datasets.

SecureLink Workflow



Watermarking: secure data releases 

Privitar Publisher embeds invisible watermarks into protected data. In the event of unauthorised distribution, the watermark allows the origin and lineage of a file to be established.

This acts as a deterrent against such unauthorised behaviour.


Enterprise ready


Built for the needs of large organisations, Privitar Publisher includes auditing, multi-environment support, Active Directory integration for authentication and management of user roles, Kerberos security integration and user impersonation, and the ability to automate workflows via REST APIs.


Learn More

Download the Privitar White Paper