Privacy Governed Data FlowData Flow

Integrate privacy controls into data flow. Combine active user consent and preferences with policies to govern data in-flight.

ConsentGrid™ allows organizations to implement privacy-by-design principles by embedding automated privacy controls into business practices. With privacy governed data flow, organizations can remove or mask sensitive data as it moves between systems while keeping a record of data use. This builds an automated data map showing what type of data is stored where or shared with whom. With ConsentGrid™ privacy governed data flow, companies can smoothly integrate user preferences as well as organizational privacy policies into their data flow, respond to the changing regulatory expectations, and empower their users by letting them decide how their information is used.

Filter/Mask Data

ConsentGrid™ works as a filter intercepting data flow between applications or organizations. It tracks the flow of personal data between data processing locations and uses consent and policies to filter or mask data in-flight.

Automated Data Mapping

ConsentGrid™ builds an automated data map at the data subject level. Organizations can respond to data subject requests (DSARs) quickly and accurately using ConsentGrid™ data maps.

Sanitize, anonymize, pseudonymize

Mask, filter, or redact data fields using consent and organizational policies based on the situation at hand. Sanitize or anonymize data in-flight as it moves between systems or locations.

Data Agnostic Privacy Architecture


Schemas Describe Entities

Schemas define the structure of business entities and the relationships between them. ConsentGrid™ uses XML and JSON schemas to validate and process documents.


Overlays Label and Transform Data

An overlay is an additional processing step for documents. Overlays can be used to annotate data fields with privacy labels, remove or mask certain fields, or calculate hash values for pseudonymization.


Filtered Data Access

Use overlays to compose views of an entity. Each view prescribes the operations to annotate or transform data in-flight. Use different views to filter data for different use-cases. Some views can pseudenymize data, others annotate with privacy labels or mask fields.

Contact us to learn more about privacy governed data flow. We will show you how it works and integration options for your platform.

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