Abstract: Disclosed are various embodiments for executing entity-specific cryptographic code in a cryptographic coprocessor. In one embodiment, an exemplary method comprises receiving encrypted code that includes implementing a cryptographic algorithm from a service via a network, wherein the encrypted code further includes a symmetric encryption key; decrypting, by a cryptographic coprocessor, the encrypted code; executing, by the cryptographic coprocessor, the decrypted code to generate a cryptogram including information encrypted using the cryptographic algorithm and the symmetric encryption key; and sending the cryptogram to the service via the network.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.

Abstract: A system for data migration is disclosed. The system may receive a migration request comprising a source file path and a target file location. The system may capture source file metadata based on the source file path and the migration request. The system may transfer a source file from a first data environment to an intermediate data environment via a first transfer process. The system may transfer the source file from the intermediate data environment to a second data environment via a second transfer process.

Abstract: An electronic record related to a first transaction of a user can be received at a point-of-sale device. A user interface with real-time transaction data can be generated and displayed on the user device. An eligibility of the first transaction for a reward program can be determined. A portion of the reward program based on said determined eligibility can be selected and the electronic record of the first transaction can be updated by modifying the real-time transaction data currently displayed within the UI.

Abstract: A method, system, and computer readable storage to implement a data marketplace which stored data assets, such as tables, models, variables, etc. All of the data assets (assets) can be searched and retrieved from the data marketplace notwithstanding that the assets can be stored at different locations, in different forms, and in different platforms through an entire big data system. The data marketplace also predicts and suggests assets which will be likely to be relevant to a user's current project.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: At least some embodiments are directed to a computer-based cyber-attack frequency tracking system that determines types and frequencies of cyber-attacks. In at least some embodiments, the method of a cyber-attack frequency tracking system may operate a processor in an enterprise computing environment for automatically conducting a process that comprises receiving, a plurality of data values that represent a plurality of cyber-attacks. Determining cyber-attack types, and then determining the frequency of attempts and contacts with assets. After that determining likelihood values. Aggregating these determinations to produce a quantifiable value of a likelihood values of each of the plurality of cyber-attack types.

Abstract: A single sign-on system using blockchain is disclosed. The single sign-on system may interconnect various organization systems over a peer-to-peer network, with each organization system having a blockchain node and an application programming interface (API). The blockchain node invokes and uses a smart contract to write registration credentials to the blockchain during a registration process. During a login process, the blockchain node invokes the smart contract to determine whether login credentials match stored login credentials in the blockchain. In response to matching login credentials, the API may generate a single sign-on token that can be used by a user device to access one or more organization systems connected over the network.

Abstract: A system may receive a query configured to access a column in a data table. The data table may be in a flat file in a big data storage format. The system may detect the language type of the query and validate the query against the syntax of the language type. The system may also validate an access permission for data in the data table. The access permission may be stored in a permissions database. The system may generate a temporary table including the column with the temporary table configured to support the language type. The system may execute the query against the temporary table to generate a query result based on the temporary table as though it were the underlying data table. The system may enforce column-level or row-level access permissions by excluding columns or rows from the temporary table.

Abstract: A transaction card can be manufactured from rigid materials, such as glass, stone, or ceramics. The transaction card can have a first rigid layer having a first external surface and a first internal surface, with a pocket within the first external surface of the first rigid layer. The transaction card can have a second rigid layer having a second external surface and a second internal surface. A binding layer can be located between the first rigid layer and the second rigid layer can affix the first rigid layer to the second internal layer. An integrated circuit chip can be affixed within the pocket of the first rigid layer. A rim can extend from the first external surface of first rigid layer around a first edge of the first rigid layer and a second edge of the second rigid layer and onto the second external surface of the second rigid layer.

Abstract: Disclosed are various embodiments for decentralizing the authentication or verification of data. An identity key can be generated for a data item. A request can then be sent to an authentication provider for authentication of the data item, the request comprising the identity key and the data item. A verified claim for the data item can then be received in response. Subsequently, an identity document is generated, the identity document comprising the identity key for the data item and the verified claim. Finally, the identity document can be stored in a distributed ledger.

Abstract: Disclosed are various embodiments for authenticating a user using non-fungible tokens (NFTs). A trusted token issuer verifies a user's identity according to identifying credentials (e.g., government issued identification, passport, driver's license, etc.) presented by the user and creates a non-fungible token in response to verifying the credentials. The non-fungible token is associated with a user identifier and can be used by an access provider to authenticate a user requesting access to restricted content provided by the access provider. For example, when a client device associated with the user requests access from an access provider to an access-restricted website or other type of access-restricted area (e.g., building, concert venue, network, etc.), the access provider (e.g., website server, building computing device, venue system, etc.) uses the properties of the non-fungible token to verify one's identity and permit access upon verification.

Abstract: Disclosed are various embodiments for authenticating users of applications using decentralized data models for storing a user's identity. A fingerprint for a computing device is received from an application executing on the computing device. An identity key associated with the fingerprint for the computing device is then obtained, the identity key being linked to a signed claim. The signed claim is retrieved and evaluated. The application executing on the computing device is then granted access to the computing resource in response to evaluating the signed claim.

Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.

Abstract: A zero-knowledge proof purchase system and process using blockchain is disclosed. The system may comprise a customer device, a merchant system, an issuer system, and a blockchain network having a zero-knowledge proof (ZKP) smart contract. The system may implement a zero-knowledge proof algorithm haying a key generator function, a proof function, and a validate function. Each function may be configured to perform various tasks in the system to support and enable zero-knowledge proof purchases.

Abstract: At least some embodiments of the present disclosure are directed to an exemplary system including an application server; a cache memory storage; and a datastore; where the application server is at least configured to: receive, from one or more web client sessions, real-time user-related activity data that is representative of one or more activities performed by a user during a day; store the real-time user-related activity data in a temporary cache user profile data structure of the at least one cache memory storage; upon the receipt of the real-time user-related activity data, invoke, in real-time, a plurality of APIs that are configured to determine a user-specific eligibility data, generate a fixed activity plan; and attribute, in real-time, an activity performance to the fixed activity plan based on a pre-determined allocating rule.

Abstract: Disclosed are various embodiments for implementing a decentralized messaging system that allows users to exchange messages via an inbox maintained through a distributed ledger. A messaging inbox can be created for a user in a distributed ledger using an inbox address that includes a string of alphanumeric numbers without an identifying domain name or identifying information about the user. Furthermore, a user may define content preferences associated with the inbox that can be used by the distributed ledger to filter content received in the inbox to minimize unwanted or undesired content provided to the user.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like.