Abstract: Disclosed are techniques for providing an exposure rating. In an aspect, a processing system provides, to a user, an exposure rating to enable the user to visualize a level of online exposure of their personal information, wherein the exposure rating is determined based at least in part on an email score and a data broker score, wherein the email score is determined based at least in part on a number of a set of commercial email domains determined from a scan of an email account of the user, a number of a set of protected commercial email domains, and an email portion of the exposure rating, and wherein the data broker score is determined based at least in part on a number of a set of known data brokers, a number of the set of protected data brokers, and a data broker portion of the exposure rating.

Abstract: Disclosed are techniques for determining opt-out compliance to prevent user data exploitation. In an aspect, a user device scans an email account of a user of the user device to identify a list of commercial email domains from which the email account has received one or more emails, transmits an opt-out request to a commercial email domain on the list of commercial email domains, receives an opt-out response from the commercial entity, wherein the opt-out response comprises an email or a webform containing natural language text indicating a response to the opt-out request, applies a machine learning model to the opt-out response to classify, based on the natural language text indicating the response to the opt-out request, a type of the opt-out response as one of a plurality of types of opt-out responses, and displays a notification indicating the type of the opt-out response determined by the machine learning model.