Early Warning Services, LLC

Xor Data Exchange, Inc.

Early Warning Sendees, LLC

Gregor R Bonin

Michael Cook

David Hugh Munson

Aaron Antonio Rodriguez

Lester Leland Lockhart, Iii

Systems and methods are provided for implementing reciprocal data sharing in a data exchange system. Limitations may be placed on the amount of data an exchange member may access based on the amount of data contributed. The system may include determining a data contribution associated with a first member of the data exchange, determining a data access limit for the first member based on the data contribution, and providing data to the first member when the first member has not exceeded the data access limit. In some embodiments, there may be separate data access limits for each member of the data exchange, so that a first member may have different access limits when accessing data from a second member, data from a third member, and data from a fourth member. Further, the system may limit a requester to a type of data that corresponds to the type of data contributed.

System and method of reciprocal data sharing

A compromised data exchange system extracts data from websites using a crawler, detects portions within the extracted data that resemble personally identifying information (PII) data based on PII data patterns using a risk assessment module, and compares a detected portion to data within a database of disassociated compromised PII data to determine a match using the risk assessment module. A risk score may be assigned to a data item within the database in response to determining the match. In some embodiments, URL data may also be detected in the extracted data. The detected URL data represents further websites that can be automatically crawled by the system to detect further PII data.

Systems and methods of determining compromised identity information

A compromised data exchange system extracts data from websites using a crawler, detects portions within the extracted data that resemble personally identifying information (PII) data based on PII data patterns using a risk assessment module, and compares a detected portion to data within a database of disassociated compromised PII data to determine a match using the risk assessment module. A risk score may be assigned to a data item within the database in response to determining the match. In some embodiments, URL data may also be detected in the extracted data. The detected URL data represents further web sites that can be automatically crawled by the system to detect further PII data.

Systems and methods are provided for implementing reciprocal data sharing in a data exchange system. Limitations may be placed on the amount of data an exchange member may access based on the amount of data that exchange member has contributed. The system may include determining a data contribution associated with a first member of the data exchange, determining a data access limit for the first member based on the data contribution, and providing data to the first member when the first member has not exceeded the data access limit. In some embodiments, there may be separate data access limits for each member of the data exchange, so that a first member may have different access limits when accessing data from a second member, data from a third member, and data from a fourth member. Further, the system may limit a requester to a type of data that corresponds to the type of data contributed.

In some embodiments, a compromised data exchange system may include an interface configured to couple to a network, a processor, and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to extract data from one or more websites using a crawler, detect portions within the data that resemble personally identifying information (PO) data based on PII data patterns using a risk assessment module, and to compare a detected portion to data within a database of disassociated compromised PII data to determine a match using the risk assessment module. The instructions may further cause the processor to selectively assign a risk score to a data item within the database in response to determining the match using a risk scoring module.

In some embodiments, a compromised data exchange system may include an interface configured to couple to a network, a processor, and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to extract data from one or more websites using a crawler, detect portions within the data that resemble personally identifying information (PII) data based on PII data patterns using a risk assessment module, and to compare a detected portion to data within a database of disassociated compromised PII data to determine a match using the risk assessment module. The instructions may further cause the processor to selectively assign a risk score to a data item within the database in response to determining the match using a risk scoring module.

Systems and methods are provided for implementing reciprocal data sharing in a data exchange system. Limitations may be placed on the amount of data an exchange member may access based on the amount of data that exchange member has contributed. The system may include determining a data contribution associated with a first member of the data exchange, determining a limit for the first member based on the data contribution, and providing data to the first member when the first member has not exceeded the limit. In some embodiments, there may be separate limits for each member of the data exchange, so that a first member may have different access limits when accessing data from a second member, data from a third member, and data from a fourth member. Further, the system may limit a requester to a type of data that corresponds to the type of data contributed.

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Austin, TX, United States of America

Gregor R Bonin