Abstract: A method for automatically identifying proficiencies based on an associated set of codes is provided. The method includes retrieving a file that is associated with a user from a repository, the repository including a source code repository; classifying the file based on a corresponding programming language; determining, by using a model, a proficiency attribute of the user based on the file and a result of the classification; identifying a characteristic of the user based on corresponding activity data from the repository; and generating a profile that corresponds to the user based on the proficiency attribute and the characteristic, the profile including a plurality of proficiency attributes that correspond to the user.

Abstract: Distributed ledger cores are disclosed.

Abstract: Systems and methods for enhanced organizational transparency using a linked activity chain in a ledger are disclosed. In one embodiment, a method may include (1) a back end for an organization comprising at least one computer processor receiving a first communication from a first entity comprising a first customer interaction with the first entity; (2) the back end writing the first communication to a ledger for the organization as a first block in a linked activity chain; (3) the back end receiving a second communication from a second entity comprising a second customer second activity with the second entity; (4) the back end writing the second communication to the ledger for the organization as a second block in the linked activity chain; (5) the back end calculating a summary score for the customer based on the blocks in the linked activity chain.

Abstract: A method for presenting pre-approved and pre-underwritten offers to a customer may include: receiving targeting criteria based on at least one of current accounts with the financial institution, assets, creditworthiness, and credit risk for an offer for a financial product; identifying a target population of customers for the offer by applying the targeting criteria to a population of customers; reviewing each customer in the target population for underwriting for the financial product based on inferred income for each customer and accounts that each customer has with the financial institution, wherein the underwriting is performed before the financial product is offered; determining a channel to present the offer to one of the customers that passed underwriting; communicating the offer to the customer over the selected channel; and providing an accepted offer to a fulfilment engine, wherein the fulfilment engine initiates an account opening for the financial product.

Abstract: Security design and architecture for a multi-tenant Hadoop cluster are disclosed. In one embodiment, in a multi-tenant Hadoop cluster comprising a plurality of tenants and a plurality of applications, a method for identifying, naming, and creating a multi-tenant directory structure in a multi-tenant Hadoop cluster may include (1) identifying a plurality of groups for a directory structure selected from the group consisting of a superuser group, a plurality of tenant groups, and at least one application group; (2) creating an active directory for each of the groups; (3) adding each of a plurality of users to one of the plurality of tenant groups and the application group; (4) creating tenant directories and home directories for the users; and (5) assigning owners, group owners, default permissions, and extended access control lists to the tenant directories and the home directories.

Abstract: A method for pre-positioning data based on a user attribute is disclosed. The method includes retrieving audit information that corresponds to a user, the audit information including the user attribute; determining, by using a model, a user characteristic for the user based on the audit information, the user characteristic including a probability value and a geographical location; comparing the user characteristic with a predetermined threshold; identifying raw data from a networked platform, the raw data corresponding to the user; generating a structured data set for the user based on the user characteristic; and persisting the structured data set in an edge computing repository based on a result of the comparing, the edge computing repository corresponding to the geographical location.

Abstract: A system and method for creating a context identifier are disclosed. A receiver receives a request from a user of an application to book a transaction corresponding to a security instrument. A processor accesses a database that stores security details data in connection with the security instrument at an instrument level via an instrument identifier (ID) internal to the application and stores the security details data at a trading line level via a trading line ID internal to the application. The processor pre-positions creation of a context ID within the instrument ID at a time of creation of the instrument ID; creates the context ID within the instrument ID independently of availability of external ID external to the application; completes booking of the transaction based on the context ID; and stores the context ID onto a security data master.

Abstract: A method for providing actionable intelligence in real-time to facilitate a plurality of transactions is disclosed. The method includes compiling historical activity data for potential clients; defining, by using a model, a score for each of the potential clients based on the compiled historical activity data; receiving, via an event stream, a request, the request relating to a transaction request for a financial instrument; retrieving client coverage data that corresponds to the potential clients, the client coverage data including a strategic client plan that relates to development of client relationships; identifying a predetermined rule that corresponds to the request; and automatically determining, in real-time for the request, a recommended client from the potential clients based on at least one from among the score, the client coverage data, the corresponding predetermined rule, and the historical activity data.

Abstract: Various methods, apparatuses/systems, and media for implementing an SSH connector are disclosed. A processor deploys a first API to get an active directory groups with a first user list data from a repository. The processor deploys a second API that calls an active directory to get a second user list data that lists users who are in given active directory groups that are authenticated and authorized. The processor also compares the first user list data to the second user list data; deploys a third API that returns active directory groups with users who are listed in the first user list data in the repository but not in the second user list data in the active directory groups; and deploys a fourth API that calls the repository to remove the users from groups in the repository who are not in the second user list data in the active directory groups.

Abstract: Method and systems for facilitating cashless payments by using a smart phone without a requirement for any of a mobile application, an exchange of personally identifying information, or a payee account are provided. The method includes: receiving an identification number that corresponds to a request for payment submitted by a potential payee; retrieving, based on the identification number, identifying information that corresponds to an account associated with a potential payor; transmitting, to the potential payor, a first message that includes a request for a payment amount; receiving, from the potential payor, a second message that includes a confirmation and the payment amount; validating the request for payment; transferring, to the potential payee, a cookie that is associated with the requested payment amount; and when a confirmation that the requested payment has been completed is received, transmitting, to the payor, a confirmation that the payment has been completed.

Abstract: Various methods, apparatuses/systems, and media for dynamic code analysis using aspect oriented programming (AOP) are disclosed. A processor (i) creates a list of all method names associated with an application before launching the application and writes into a file; (ii) at runtime, reads the method names from the file into a hash set and using AOP load time weaving, each time a method is invoked, pointcut around the execution of the method to remove method name from the hash set in memory; (iii) periodically overwrites the file with a dump of current entries in the hash set for fault tolerance; (iv) for every subsequent restart of the application, the processor repeats from processes (ii) and (iii). After running processes (i)-(iv) for a predetermined time period (a month, a quarter etc.), the processor creates a final with methods that have not been invoked for potential deletion.

Abstract: A method for controlling an access to a resource is provided. The method includes receiving, from a first user, a first input that relates to a business criterion for a provision of the access to the resource; receiving, from a second user, a second input that relates to an application-specific criterion for the provision of the access to the resource; generating one or more one access-control rules based on the inputs; receiving an access request; and determining whether to grant the access request based on the rules, and any conditions that pertain to the access. The method effectively decouples the business-related criterion from the application-specific criterion for the access determination, thereby ensuring that business stakeholders and application owners each have an independent ability to provide inputs for generating access-control rules and policies.

Abstract: Various methods, apparatuses/systems, and media for implementing a data quality check module for determining whether data is acceptable or not are disclosed. A processor collects all facts data corresponding to an agreement based on corresponding received distribution event data in accordance with margin requirements associated with the agreement and calculates statistical analysis data based on historical data points of the facts data for the agreement. The processor also creates and configures dynamic rules that are required to be applied for determining whether the agreement is in good order; verifies the statistical analysis data against the rules to determine anomaly data; marks the agreement as a good order agreement flag when it is determined that the anomaly data is within a predetermined threshold value; and automatically executes, in response to marking the agreement as a good order agreement flag, a straight through processing of the agreement.

Abstract: Various methods, apparatuses/systems, and media for managing vulnerability data are provided. A processor allows ingestion of vulnerability data from an external database into a local database which then makes the vulnerability data available for review via a graphical user interface (GUI). The processor also compares a risk score associated with each vulnerability included in the vulnerability data to a predefined threshold value; modifies, based on a determination that the risk score exceeds the predefined threshold value, the risk score by receiving user input via the GUI in accordance with risk information applicable to systems managed and operated by an organization; and updates a list of vulnerabilities of the vulnerability data stored in the local database by supplementing with the modified risk score without overwriting the risk score associated with each vulnerability initially received from the external database.

Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.

Abstract: Systems and methods for providing data privacy in a private distributed ledger are disclosed. According to another embodiment a distributed ledger network may include a first node comprising a first node computer processor and hosting a central ledger comprising a plurality of entries for public transactions and private transactions, wherein the entries for public transactions comprise transaction payloads for the respective public transaction, and the entries for private transactions comprise a cryptographic hash digest of a transaction payload for the respective private transaction; and a plurality of second nodes each comprising a second node computer processor and hosting a public database comprising the public transactions, and a private database comprising transaction payloads for the private transactions to which the node is a party.

Abstract: The invention relates to a computer-implemented system and method for authenticating a customer of a business. The method may include the steps of: receiving from the customer at least one item of identifying information; confirming the identity of the customer; generating a token that represents an active session in which the customer interacts with one or more systems or personnel at the business; conducting a first set of communications between the customer and a first system of the business; inquiring with the customer as to whether the customer desires to transfer the active session to a second system at the business or to a third party system; and transferring the active session using the token to the second system or the third party system. The method may also comprise the steps of retrieving background information on the customer to assist a representative of the business in assisting the customer.

Abstract: Various methods, apparatuses/systems, and media for implementing an emergency system halt mechanism are disclosed. A processor establishes a communication link with a plurality of data sources and a receiver. The receiver receives data related to disaster and/or cyber scenarios from the plurality of data sources. The processor automatically determines, by utilizing an intelligent activation system (IAS), whether to activate an emergency system halt mechanism (ESHM) upon detection of a disaster and/or a cyber scenario based on analyzing the received data and using pre-determined rules and artificial intelligence (AI)/machine learning (ML) models. The processor also automatically determines whether to activate or deactivate the ESHM based on a result of determination of the IAS. Once activated, a secure voice-based authentication processes designed to work in the limitations of cyber and disaster scenarios allow registered users to take actions such as halt or resume systems.

Abstract: A method for providing an integrated platform to facilitate electronic communication is provided. The method includes receiving a communication request from a client, the communication request relating to a request to initiate a communication session with a participant; parsing the communication request to locate an identifier that corresponds to the client; retrieving, in real-time, information that is associated with the identifier; generating a graphical element, the graphical element including the retrieved information; notifying the participant of the communication request; and displaying, via a graphical user interface, the generated graphical element in real-time for the participant.

Abstract: A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.