Utility Optimized Data Sets

Manage risk and maximize utility in datasets fit for their intended purpose.

A new paradigm for data protection

Delivering the right data, in the right form, to the right analysts and systems is complicated whenever sensitive personal data is involved.

Privitar’s unique solution design is a new paradigm to manage risk and maximize utility, organizing data in utility optimized datasets. We call these Protected Data Domains (PDDs).

Protected Data Domains

A PDD is a managed release of data that allows for the privacy risk of data to be evaluated and mitigated while utility is preserved. Data owners generate PDDs whenever they apply data protection controls using the Privitar Data Privacy Platform™.

Managing data in separated releases empowers the data owner to calculate risk scores for each PDD and reason about the implications of publishing or sharing data. It’s the unit of data for privacy governance and management.

PDDs record data lineage, intended lifetime, permitted recipient and purpose, and what protections were applied to the data. Watermarking data in PDDs enables owners to trace how data is used and moved around.

Trade Uncertainty for Utility

Organizations provisioning data for analytics struggle to balance the need for utility with their legal and regulatory requirements, and customer expectations around privacy.

PDDs make it easy to prepare data optimized for use in a particular context and fitted to your risk appetite based on the data, users and objectives for each analysis.

Create safe datasets, rich in analytical utility, by defining where it’s essential to retain data resolution, and de-identifying data where it’s not.

Targeted De-identification
Privitar enables you to target de-identification for specific values. You can prioritize values where you need to retain data resolution and Privitar works around that, automatically adjusting precision on other values to achieve privacy protection.
Protected But Compatible
PDDs are real datasets. Protected data in a PDD retains the structure of the original dataset, including its schema, format, storage location and metadata, preserving application and tool compatibility after you apply Privacy Techniques.

Data minimization, optimised for utility

Data minimization is a principle at the heart of several data regulations globally. It demands that you leverage the minimum amount of personal data needed to fulfill your purpose.

PDDs make it easy to implement data minimization, enabling you to tune de-identification for each analysis according to who can use certain data, for what purpose, and under what conditions.

Data minimization success

Utilize all and only the data essential to reach maximum value in each analysis, without unnecessary data points creating risk.

Safely Link and Enrich Data

Linking diverse datasets with referential integrity can enrich data and lead to breakthrough insights, but linking personal information with other identifying data can result in inadvertent identification or disclosure of sensitive information.

PDDs enable centralized control of what data can be linked. You can preserve referential integrity within individual PPDs using consistent tokens, but linkage between PDDs is prevented by applying completely independent sets of pseudonyms.

Metadata Records Intended Scope

A record of intended scope and purpose travels with every PDD, just as our passports record our identity and permits when we travel.

Each PDD records its requester, approvers, users, purpose and expiration, along with the Privacy Policy and Privacy Techniques applied, as properties in metadata.

Use PDD metadata to automate enforcement of access entitlements and data expiration in conjunction with your data catalog, identity and access management system, and other data pipeline tools.

Watermarks Embed Data Provenance

Privitar embeds Watermarks redundantly in PDDs, providing the ability to trace and audit the lineage of protected datas without affecting fidelity.

Watermarks are like digital fingerprints or tags that cannot be removed, enabling you to work with utility optimized datasets that are safe in the hands of internal and external users.

Watermarks in PDDs facilitate detection and attribution if any unauthorized copies of data are made. They act as a powerful deterrent against insider threats, and accelerate forensic investigation in the event of a breach.

Ready to learn more about Privitar?

Our team of data privacy experts is here to answer your questions and discuss how data privacy can fuel your business.