Abstract: Methods, systems, and computer-readable medium for protecting the identity of users and entities. One method includes receiving an entity profile request, receiving a plurality of attributes associated with one or more members of the entity, and receiving/identifying a plurality of access credentials of the one or more members of the entity. The method includes generating an entity profile including a plurality of member identity passes, generating a GUI including a representation of the entity profile, and receiving a request and at least one of the plurality of access credentials. The request is for an exchange or providing at least one of the plurality of attributes. The method includes verifying that access credentials correspond to an access level to perform the request, accessing a data storage, transmitting or permitting access to information to satisfy the request, and updating a usage log.

Abstract: Methods, systems, and computer-readable medium for protecting the identity of users and entities. One method includes receiving an identity pass request for a user, receiving at least attributes associated with the user, transmitting an authentication request for at least one verifiable credential of the user, and receiving the at least one verifiable credential. The method includes generating an identity pass including a set of identity tokens and the at least one verifiable credential. The method includes generating a GUI, receiving a data request, verifying the verifiable credential, and determining a first subset of the attributes corresponding with protected information and a second subset of the attributes corresponding with unprotected information. The method includes accessing a data storage storing the identity pass and transmitting the unprotected information to satisfy the request, or, permitting access to the unprotected information to satisfy the request.

Abstract: Methods, systems, and computer-readable medium for protecting the identity of users and entities. One method includes receiving an entity profile request, receiving a plurality of attributes associated with one or more members of the entity, and receiving/identifying a plurality of access credentials of the one or more members of the entity. The method includes generating an entity profile including a plurality of member identity passes, generating a GUI including a representation of the entity profile, and receiving a request and at least one of the plurality of access credentials. The request is for an exchange or providing at least one of the plurality of attributes. The method includes verifying that access credentials correspond to an access level to perform the request, accessing a data storage, transmitting or permitting access to information to satisfy the request, and updating a usage log.

Abstract: The arrangements described herein relate to a computing system including at least one processor and at least one memory coupled to the at least one processor, the at least one processor is configured to tokenize a Machine Learning (ML) model by determining a first token for the ML model and at least one second token for intellectual property rights of the ML model. The first token includes a link to each of the at least one second token, and each of the at least one second token includes a link to the first token. The at least one processor is configured to tokenize training dataset used to train the ML model by determining a third token for the training data and record the first token, the at least one second token, and the third token on a distributed ledger database/blockchain.

Abstract: The arrangements described herein relate to a computing system configured to receive, from a first blockchain registry associated with a first computing system, a first digital asset corresponding to a first version of a Machine Learning (ML) model and receive, from a second blockchain registry associated with a second computing system, a second digital asset corresponding to a second version of the ML model. The first version and the second version of the ML model are recorded in a third distributed ledger database/blockchain, and a champion model of the ML model is selected from the first version and the second version of the ML model.

Abstract: The arrangements described herein relate to a computing system configured to receive a file comprising text strings, determine a validity of information in the text strings using at least one ML model, in response to determining the validity of the information in the text strings, tokenize the file by generating a digital asset corresponding to the file, the token includes a pointer to the file, and record the digital asset on a distributed ledger database/blockchain.

Abstract: The arrangements described herein relate to a universal resolver configured to receive, from a first blockchain registry associated with a first computing system, a first provider institution identifier of a first provider institution and a first user identifier of a user and receive, from a second blockchain registry associated with a second computing system, a second provider institution identifier of a second provider institution and a second user identifier of the user. A universal unique identifier is determined for the user based at least in part on the first provider institution identifier, the first user identifier, the second provider institution identifier, and the second user identifier. The universal unique identifier is recorded on a third distributed ledger database/blockchain.

Abstract: This disclosure describes techniques for client-controlled and secure disclosure of attestations of identifying information of subjects. For example, a method includes obtaining, by a computing system, identifying information associated with a subject. The method also includes generating, by the computing system and based on the identifying information associated with the subject, a decentralized identifier (DID) associated with the subject and one or more attested claims of the identifying information associated with the subject. The method further includes receiving, by the computing system and from the subject, a request to send the identifying information to one or more relying parties, and in response, recording, by the computing system, the DID in a verifiable data registry, and sending, by the computing system, the one or more attested claims to the one or more relying parties.

Abstract: Examples are directed to systems and methods that enhances security for an autonomous artificial intelligence agent (AAIA). The system receives permissions associated with the AAIA that relate to an action the AAIA is authorized to perform. A passkey is assigned to the AAIA that relates to an authentication type for the AAIA. The system assigns a decentralized identifier (DID) to the AAIA along with a private key. The private key allows the AAIA to authorize the action. The system receives the passkey from the AAIA and allow the AAIA to perform the action based on the passkey and the permissions associated with the AAIA. The AAIA performs the actions using the DID.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for handling a call request. An example method includes receiving a logon request for a user account from a user device and performing an authentication routine to determine whether to authenticate the logon request. In an instance in which the logon request is successfully authenticated, the example method further includes establishing a secure session with the user device and receiving the call request from the user device. The example method further includes determining a verified internal phone number based on the call request and providing the verified internal phone number to the user device. The example method further includes updating a decentralized identifier (DID) document associated with a user DID to reflect the call request.

Abstract: This disclosure describes techniques for client-controlled and secure disclosure of attestations of identifying information of subjects. For example, a method includes obtaining, by a computing system, identifying information associated with a subject. The method also includes generating, by the computing system and based on the identifying information associated with the subject, a decentralized identifier (DID) associated with the subject and one or more attested claims of the identifying information associated with the subject. The method further includes receiving, by the computing system and from the subject, a request to send the identifying information to one or more relying parties, and in response, recording, by the computing system, the DID in a verifiable data registry, and sending, by the computing system, the one or more attested claims to the one or more relying parties.

Abstract: Examples are directed to systems and methods that provide a token having a corresponding token identifier. The token is associated with a user and stores electronic data having a plurality of data sets associated with the user. The token is configured to interface with each of a plurality of disparate electronic platforms and map relationships of the user with ones of the plurality of disparate electronic platforms. The token can be used to identify a first data set of the plurality of data sets having data that corresponds to the data request and provide the first data set to a recipient while simultaneously masking a second data set of the plurality of data sets from the recipient.