Today we are announcing the general availability of Privitar 3.0.
Privitar 3.0 introduces many new features, all with the goal of solving data privacy challenges at scale.
With this new release, organisations can safely link data across trust boundaries, embed data privacy protections in heterogeneous processing environments, automate privacy processing with APIs, and bring open data privacy governance to the entire organisation with support for teams and custom user roles.
With SecureLink, 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 masks identifiers using industry-standard encryption schemes, so that identifiers are kept encrypted at all times. All identifiers receive a consistent but secure treatment, so that upon receiving the data the central party can still join it into a single dataset..
SecureLink feature enables organisations to overcome trust barriers and meet regulatory and governance requirements that are usually blockers for collaboration on data projects that involve multiple parties.
You can find out more in our forthcoming webinar – ‘How to securely link datasets from different organisations’ – register here.
Privitar On Demand
3.0 introduces a new way to apply privacy protections via on-demand API calls over HTTPS.
Versions prior to 3.0 offered two ways of applying privacy protections to data: processing batch datasets in Hadoop, or streaming datasets in Apache NiFi, Confluent Platform or Apache Kafka with our Data Flow execution engine.
In 3.0, Privitar On Demand makes the power of privacy enhancing techniques available via an API that can be integrated in custom applications and data pipelines, or made available across an organisation as a service.
With Privitar On Demand, organisations can now consistently protect their datasets across multiple data processing modes: batch, streaming and API, or any combination of these, on multiple platforms, either on-premises or cloud-based.
In Privitar’s centralised Policy Manager application, data owners and privacy engineers can define data protection requirements and transformations in preparation for processing datasets in batch, streaming or API modes.
As part of Privitar’s mission to make advanced privacy protection techniques available to the entire organisation, 3.0 introduces a new set of HTTPS REST APIs that can be used to programmatically manage and protect a large number of datasets, while reducing human intervention.
Data provisioning pipelines can also be automated, so that data can be made available for analysis quickly and safely.
You can find out more in our forthcoming webinar – ‘How to automate your privacy protection’ – register here.
Teams and Custom User Roles
Large organisations often have numerous teams dealing with separate sets of data, multiple stakeholders and different functions within these teams.
In 3.0, privacy protection can now be offered as a central service, while specific responsibilities can be delegated to each department or project team.
Each team is able to operate independently on the single, centralised Policy Manager, while sharing privacy protection definitions with the rest of the organisation.
With our centralised policy-based approach, each team can have autonomy, while collaboration and standards across the organisation can be enforced.
3.0 also acknowledges that individual responsibilities are different in every organisation, by offering a set of fine-grained permissions that can be combined together in custom user roles.
Each organisation can define its own data privacy governance workflows, with different actors and roles for each step of the privacy protection definition process.
We are proud of the features that we are introducing in Privitar 3.0, which are the result of extensive conversations with our customers and partners, and many weeks of design and development.