ConsentGrid Description
Define policies to allow data processing and exchange in different scenarios. This includes data classification, masking, filtering, filtering, or pseudonymization. To respect consumer preferences and to ensure data processing/exchange agreements are respected, manage privacy settings. Integrate granular consent decisions into data flow. Use ConsentGrid™, a consumer-facing privacy dashboard, to collect consent and preferences for data processing. Accept and securely respond (DSRs) to data subject requests. Use consent decision service to make contextual consent decisions. Track, filter, pseudonymize and track data as it moves among systems for machine learning or ETL pipelines. Privacy filters can be applied to data that is shared with third parties. Eliminate ad-hoc privacy restrictions. Data remains in the network. Process data inside your infrastructure. To protect privacy, the organization deploys ConsentGrid processor. Personal data remains within the organization network.
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