Mandatory Data Broker Transparency Protocol
A regulatory and technical framework requiring data brokers to disclose shadow profile contents to individuals quarterly via automated API access. Leverages CCPA and GDPR with enforcement mechanisms, allowing individuals to view, correct, and request deletion of shadow profile data. Establishes independent auditing standards and consumer complaint resolution with measurable timelines and compliance penalties for violations.
Mandatory Data Broker Transparency and Correction Rights
Establish a regulatory framework requiring data brokers to disclose personal profiles quarterly to subjects, alongside enforceable correction and deletion rights. Shifts accountability from individual data discovery to institutional transparency, with automated validation against source data and penalties for inaccuracy.
Automated Shadow Profile Detection System
Create an open-source tool for individuals to discover and audit shadow profiles maintained by data brokers. Integrate with CCPA/GDPR infrastructure for automated discovery, generate legal demand letters, and create public registries of common data broker practices. Implementation includes AI-powered duplicate detection, automated legal document generation, and aggregated impact reporting to regulators.
Personal Data Shadow Ledger With Source Provenance and Deletion Status
Build a regulator-facing and consumer-facing data provenance ledger for data brokers. The system would not expose every raw attribute publicly; it would require registered brokers to report standardized categories of data held, source classes, acquisition dates, buyer categories, retention rules, deletion status, dispute outcomes, and sensitive-data flags. The citizen sees the outline of the shadow profile and its chain of custody; regulators see enough audit data to identify noncompliance, circular resale, and brokers that turn deletion into paperwork theater.