Data Broker
A company or organization whose business model centers on collecting, aggregating, and selling personal information. Data brokers compile individual profiles from multiple data sources and sell them to third parties.
Timeline (last 90 days)
Data brokers help AI labs find private corpora in the AI training data market and assist data sellers in assessing compliance risk and cleaning and anonymizing data.
Automakers sell driving behavior data to data brokers, who then resell it to insurance companies for use in adjusting premium pricing.
In the United States, the data broker industry is almost entirely without unified federal-level regulation.
Stripping domain names has a more direct and lasting impact on data broker operations than fines, as fines are often treated as a cost of doing business.
Data brokers commonly use multiple domain names, shell entities, and cross-border servers to evade legal liability.
Common tactics data brokers use to design friction-heavy opt-out processes include requiring the upload of identity documents, setting opt-out request validity periods to 180 days, and resetting opt-out records on the grounds of a new entity.
Third-party data brokers, contractors, and verification services aggregate data that was originally siloed, creating new centralized risk points.
Automakers collect massive amounts of personal information and monetize it through networks of data brokers.
Data brokers operate on a business model of collecting, aggregating, and selling personal information, with data sources spanning public records, shopping behavior, social media, and connected-vehicle driving data.
Data brokers are companies that specialize in collecting, aggregating, analyzing, and reselling personal data, drawing from sources such as app developers, advertising networks, public records, and social media.
All Facts (10)
Data brokers help AI labs find private corpora in the AI training data market and assist data sellers in assessing compliance risk and cleaning and anonymizing data.
50%UnverifiedAutomakers sell driving behavior data to data brokers, who then resell it to insurance companies for use in adjusting premium pricing.
50%UnverifiedIn the United States, the data broker industry is almost entirely without unified federal-level regulation.
50%UnverifiedStripping domain names has a more direct and lasting impact on data broker operations than fines, as fines are often treated as a cost of doing business.
50%UnverifiedData brokers commonly use multiple domain names, shell entities, and cross-border servers to evade legal liability.
50%UnverifiedCommon tactics data brokers use to design friction-heavy opt-out processes include requiring the upload of identity documents, setting opt-out request validity periods to 180 days, and resetting opt-out records on the grounds of a new entity.
50%UnverifiedThird-party data brokers, contractors, and verification services aggregate data that was originally siloed, creating new centralized risk points.
50%UnverifiedAutomakers collect massive amounts of personal information and monetize it through networks of data brokers.
50%UnverifiedData brokers operate on a business model of collecting, aggregating, and selling personal information, with data sources spanning public records, shopping behavior, social media, and connected-vehicle driving data.
50%UnverifiedData brokers are companies that specialize in collecting, aggregating, analyzing, and reselling personal data, drawing from sources such as app developers, advertising networks, public records, and social media.
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