Equifax Inc.

Sri Krishnamacharya

Quang Le

Stan Tigrett

Russ Ayres

An online identity can be verified based on data from multiple identity sources stored in a blockchain. For example, a request for a token is received from an entity for authenticating an online identity of the entity to an online service. The request can be stored in a blockchain that represents the online identity of the entity by adding a new block to the blockchain. The new block can include data indicating the request for the token. The token can be generated based on the one or more ordered blocks in the blockchain. The token can be transmitted to the entity. The token can be received from the online service. Confirmation of the online identity of the entity can be transmitted to the online service based on receiving the token from the online service.

Verifying an identity based on multiple distributed data sources using a blockchain to safeguard the identity

An exchange processing system may include multiple exchange components that are respectively included in multiple computing systems. A central exchange component may receive a request to enable access to secured data, the request having identity data encrypted via an identity encryption module and inquiry data encrypted via a first request encryption module. The central exchange component may decrypt the identity data via the identity encryption module, and decrypt the inquiry data via the first request encryption module. Response data may be generated from secured data that is selected based on the identity and inquiry data. The central exchange component may encrypt the response data via a second request encryption module and re-encrypt the identity data via the identity encryption module. The encrypted identity and response data may be provided to a second remote exchange module.

Controlling access to secured data in multi-system exchange environments

In some aspects, an interconnectivity evaluation system identifies, in a data structure with data indicating links among entity data objects, first links between a first entity data object and additional entity data objects and second links between a second entity data object and the additional entity data objects. A connectivity score for the first and second entity data objects, which indicates a weight of a relationship between the first and second entity data objects, is computed based on the first links and the second links. Data in the data structure is modified to indicate a relationship between the first and second entity data objects. The relationship is associated with the computed connectivity score. If a difference between the connectivity score and a desired connectivity score exceeds a threshold, a recommendation is outputted to modify the connectivity score by changing at least some of the links among the entity data objects.

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Cumming, GA, United States of America

Sri Krishnamacharya