Abstract: A computerized method is disclosed including performing an automated scanning, based on a user profile, of one or more webpages for one or more candidate accounts forming a set of candidate accounts, wherein the user profile includes identifying data provided by a particular individual to whom the user profile corresponds, and wherein the candidate account includes information having a level of similarity to the user profile, performing an automated analysis of each of the set of candidate accounts to determine a score indicative of a likelihood for each candidate account of the set of candidate accounts and generating a graphical user interface illustrating at least a subset of the set of candidate accounts, wherein the graphical user interface is configured to receive user feedback indicating that a first candidate account of the subset of the set of candidate accounts is to be deleted from storage.

Abstract: Embodiments disclosed herein are directed to a method of protecting and verifying personally identifiable information (PII) including establishing a PII profile for a user, generating a dynamically updatable PII profile graphical user interface (GUI) configured to receive user input corresponding to a verification decision of a data point of the PII profile, receiving the user input corresponding to the verification decision of the data, when the user input confirms that the data point corresponds to the user, maintaining the data point in the PII profile, and when the user input rejects the data point as not corresponding to the user, removing the data point from the PII profile. Examples of data points may include a user account, a social security number, an address, a data of birth, or a phone number. Establishing the PII profile may include obtain PII from the user and one or more external data sources.

Abstract: Embodiments disclosed herein are directed to a system and method configured to create a PII profile of the user and monitor data brokers for PII that matches the PII profile. For each data broker, the system can determine a threat level to the user and provide a dynamically updatable user interface configured to present the data brokers in a predetermined order, e.g. descending order of threat. The system can be configured to receive a swipe input from the user to either “Opt-Out” or “Remove” the user PII. “Opting-Out” can include preventing the data broker from selling or sharing the user PII. “Removing” can include requesting the data broker to delete all PII for the user. The system can then monitor the data broker for compliance with the request. Further, the system can provide a user interface to the data broker to petition the user for continued use of the PII.

Abstract: A method for analyzing credit score scenarios includes operations of receiving user input from a primary user indicating selection of a future credit score, conducting analytics on a current credit score, the future credit score, account information of the primary user, and secondary variables, to generate instructions that, when implemented, modify the account information of the primary user resulting in modification of the current credit score to the future credit score, and responsive to receiving additional input from the primary user, initiating implementation of one or more of the instructions at least through transmission of a first instruction to destination. The secondary variables may be a result of analyses of anonymized data of second users, and in some instances, indicate that alteration of a first variable within the account information of the primary user will have a greater impact in modifying the current credit score to the future credit score.