Early Warning Services, LLC

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.

A method including sending a registration request comprising a public identifier of a user to a computer-implemented funds transfer network to cause the computer-implemented funds transfer network to send a message to the user using the public identifier of the user to perform a validation that the public identifier is usable to contact the user. The registration request is a request to register an account of the user for real-time payments through the computer-implemented funds transfer network. The method also can include sending a confirmation message to the computer-implemented funds transfer network to validate that the public identifier is usable to contact the user and to cause the computer-implemented funds transfer network to register the user by storing a record in a directory of the computer-implemented funds transfer network that associates the public identifier with a private identifier. The private identifier is associated with the account of the user. The private identifier is not shared with the user. The private identifier stored in the directory of the computer-implemented funds transfer network is usable by the computer-implemented funds transfer network, when a sender initiates a funds transfer request to pay the user using the public identifier of the user, to cause funds to be made available in real-time in the account of the user. Other embodiments are disclosed.

A system including one or more processors, a merchant account database including a plurality of merchant identifiers being associated with a plurality of merchants, a transaction database, and one or more non-transitory computer-readable media storing computing instructions that, when executed by the one or more processors, cause the one or more processors to perform certain acts. The acts can include receiving, at the system and from a mobile device being used by a consumer, a request including a merchant identifier of the plurality of merchant identifiers; determining, at the system and using the merchant account database, first information including a second account identifier for a second account of the merchant at the second financial institution; sending the first information from the system to the first financial institution; receiving in real time over a network, at the system and from the first financial institution, payment information regarding a payment to the second account from a first account of the consumer at the first financial institution to pay the merchant the payment amount for the one or more items; logging the payment information in the transaction database; and sending in real time over the network, from the system to the merchant, a notification of the payment from the consumer to the merchant. Other embodiments are described.

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.

Disclosed herein is an identity network that provides a universal, digital identity for users to be authenticated by an identity provider for relying parties upon sign-in to the relying party. The identity network receives the sign-in request from a relying party for a user using a user device. The identity network can provide a session identifier to the relying party for the request and launch an identity provider application associated with the user via a software development kit in the relying party application. The user may sign-in to the identity provider via the software development kit, thereby authenticating the user for the relying party. Additionally, the identity provider may generate a risk validation score and provide it to the relying party that provides a confidence value that the user is validly using the user device and a risk score based on device activity on the identity network.

Described herein is an identity network for validating the digital identity of a user based on identity provider validation for relying parties. The identity network may receive a request to validate a user that includes attributes of the user and a device identifier of the device the user is using to access the relying party. The identity network may identify an identity provider for the user based on the device identifier or attributes of the user. The identity network may launch the identity provider application through the relying party application integration of a software development kit. Upon launch, the user may authenticate himself through the identity provider, and the identity provider may provide a second set of attributes of the user to compare with the user provided attributes. The identity network can provide a confidence score to the relying party based on the comparison of the user attribute values.

A synthetic identity detection network may include a communications interface, one or more processors, and a memory having instructions stored thereon. The instructions cause the processors to receive a data inquiry from a requesting system. The data inquiry may include personally identifiable information (PII) data associated with a user. The instructions cause the processors to match the PII data to a plurality of user identities. Each user identity may be associated with at least a portion of the PII data. The instructions cause the processors to identify account statuses associated with accounts associated with the user identities. The instructions cause the processors to generate a code based at least in part on a count of the user identities and the account statuses. The code provides an indication of a likelihood of the user being a synthetic identity. The instructions cause the processors to transmit the code to the requesting system.

Described herein is an identity network for authenticating a user for a relying party and providing access to the user's credit report. The identity network may receive an unlock request for the digital identity and credit report of a user from a relying party. In response, the identity network may provide an identity provider link for accessing the identity provider application. The user may login to the identity provider application and provide consent for obtaining the user's credit report. The identity provider provides the identity network with verification of the digital identity of the user and the consent response from the user. The identity network can request access from a credit reporting agency and receive a credit report key in response. The identity network can provide the credit report key to the relying party, which can use the key to access the user's credit report from the credit reporting agency.

A method of providing sentiment analysis includes aggregating, by a processor, a plurality of text-based comments, classifying, by the processor, the plurality of text-based comments as being associated with a polarity of sentiment, and generating, by the processor, a plurality of phrases from the plurality of text-based comments. The method also includes identifying, by the processor, a predetermined number of most common phrases for a particular polarity of sentiment from the plurality of phrases and outputting, by the processor, a graphic that includes the predetermined number of most common phrases for the particular polarity of sentiment.

A system may include an interface configured to couple to a network, and includes a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to process search results corresponding to multiple data owners to selectively filter personally identifiable information (PII) associated with one or more consumers from the set of search results according to data sharing permissions for each of the data owners to produce filtered results. The instructions may further cause the processor to provide the filtered results to a user device through the network.