Abstract: A method for automatically selecting and executing solutions on a target application is disclosed. The method includes: identifying at least one failure event associated with the target application based on monitoring of the target application; classifying each of the identified failure events as one from among a labeled failure event and an unlabeled failure event; selecting a recovery solution for the labeled failure event from at least one recovery database; and automatically executing the selected recovery solution on the target application for the labeled failure event.

Abstract: An embodiment of the present invention is directed to developing Autonomous Fraud Risk Management to identify emerging fraud trends in near real-time and mitigate risk by executing strategies to address fraud in a timely manner.

Abstract: An embodiment of the present invention relates to computer implemented methods and systems for receiving, by a model training device, a request for utilizing an adjustable management system by a user at a client device; wherein the client device is connected to the model training device over a network; sharing, by the model training device, an adjustable model management system comprising machine learning models and corresponding datasets in response to the received request to the client device; receiving an action from the client device, the action selected from a plurality of machine learning model services selected from the adjustable model management system; and executing an action by the model training device, to effect a change to a machine learning model saved into memory on the model training device, based on the received action.

Abstract: Systems and methods for using a cryptogram lockbox are disclosed. In one embodiment, in a merchant-specific cryptogram lockbox comprising at least one computer processor, a method for generating a cryptogram locally using a cryptogram lockbox may include: (1) receiving, from merchant backend, a request for a cryptogram comprising an account identifier received from a customer in a transaction; (2) generating a cryptogram for the account identifier using a limited use key for the account identifier; and (3) returning the cryptogram to the merchant backend. The merchant may conduct the transaction using the cryptogram.

Abstract: Systems and methods for automated code analysis and tagging are disclosed. In one embodiment, a method for automated code analysis and tagging may include: (1) receiving, by a code annotation computer program executed by a computer processor, a training code snippet from a training codebase; (2) parsing, by the code annotation computer program, the training code snippet into a data structure; (3) quantifying, by the code annotation computer program, the data structure, (4) parsing, by the code annotation computer program, a docstring associated with the training code snippet into a plurality of keywords; (5) quantifying, by the code annotation computer program, the plurality of keywords; and (6) training, by the code annotation computer program, a code annotation model based on a similarity between the quantified data structure and a smoothing parameter for a Dirichlet prior smoothing estimate.

Abstract: Integrated controls frameworks are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for using an integrated control framework for an application comprising a plurality of application modules may include: (1) defining an application profile, an application model, and a target cloud environment for an application; (2) identifying a plurality of security, resiliency, and controls requirements for the target cloud environment; (3) configuring a plurality of security controls for the application based on the plurality of security, resiliency, and controls requirements; and (4) deploying the security controls to the target cloud environment.

Abstract: Distributed ledger cores are disclosed.

Abstract: A method for privacy-preserving inventory matching may include: (1) receiving a plurality of axe submissions; (2) arranging the parties into data structures based on a direction in the party's axe submission; (3) sending each party's commitment to the other party; (4) receiving, from each party, output secret-shares of an arithmetized comparison circuit; (5) verifying that the output secret-shares of the arithmetized comparison circuit received from the parties match commitments to the output secret-shares sent by the respective opposite party; (6) identifying a minimal party based on the outputs of the arithmetized comparison circuit; (7) generating and sending a proof of the minimal party identification to the minimal party; (8) receiving a minimal quantity integer from the minimal party; (9) revealing the minimal quantity integer to the first party and the second party; and (10) executing the trade for the minimal quantity integer.

Abstract: A method of automatically providing a process completion information of an application process is disclosed. The method includes receiving one or more log files associated with the application process, wherein the one or more log files comprises one or more log lines; implementing a meta-data subsystem to identify one or more stages associated with the one or more log lines based on a set of pre-determined sequenced metadata information; and automatically determining and providing, via the metadata subsystem, the process completion information of the application process based on the identified one or more stages associated with the one or more log lines.

Abstract: A method for using an artificial intelligence-based framework to automatically discover and extract information about private and public companies that is accessible from public data sources is provided. The method includes: receiving first information that relates to an identification of a company; determining, based on the first information, publicly accessible data sources via which second information that relates to the company is available; receiving user input that relates to a type of company-specific data to be accessed from the data sources; retrieving, based on the received user input, a subset of the second information; and outputting the subset of the second information. The second information may include leadership profiles, information about products and services, a company description, and/or information about corporate policies.

Abstract: Embodiments disclosed herein provide for systems and methods for scanning application code to determine cloud platform portability. The systems and methods provide for a rules processing engine configured to perform a portability analysis on the application code and a list of cloud platform dependencies, and returns a score indicating the “stickiness” of the application code to a particular cloud platform.

Abstract: A method for facilitating payments that are executable on a decentralized network platform, such as a blockchain network platform, while providing receiver anonymity and confidentiality of transaction messages is provided. The method includes: receiving, from a payor, first information that relates to an amount of a payment being made to a recipient; receiving, from the payor, second information that relates to a secret key that corresponds to a public key associated with the payor; receiving, from the payor, third information that indicates that the sender has generated a ciphertext message that relates to the payment; and receiving, from the payor, fourth information that proves that the amount of the payment does not exceed an account balance of an account from which the payment is withdrawn. The method further includes a forward secrecy mechanism for updating the key pair of the receiver when the secret key is compromised.

Abstract: A method for managing user stories in software development via artificial intelligence is disclosed. The method includes aggregating, via an application programming interface, raw data from a software development framework according to a predetermined schedule, the raw data corresponding to user stories from a plurality of users in a natural language format; ingesting the aggregated raw data to generate structured data sets; generating a language model by using a neural network and the structured data sets, the neural network including a transformer component; training, by using the structured data sets, the language model based on predetermined criterions; tuning the trained language model for tasks by adjusting parameters; and exposing, via a communication interface, the tuned language model.

Abstract: Various methods, apparatuses/systems, and media for automatically determining screen interaction readiness times of an application are disclosed. A processor establishes a communication link between an application embedded within a computing device and a server via a communication interface; receives user input from the user on a login screen of the application to launch the application; runs, in a background of the application, a plurality of screens in response to receiving the user input to launch the application; implements, in response to running, a preconfigured ML/AI algorithm; applies the ML/AI algorithm to a plurality of signals associated with interaction ready state of corresponding screen of the plurality screens; processes the plurality of signals based on the applied ML/AI algorithm; and automatically determines interaction ready state of each screen of the plurality of screens based on the processed plurality of signals prior to launching the application.

Abstract: Various methods, apparatuses/systems, and media for implementing a unified framework for collecting, processing, enriching, validating, and distributing explicit and implicit feedback of all types from any software application agnostic to use case and contexts are disclosed. A processor receives a query from an application to collect feedback data from a particular field within an ontology that includes mapping of application level details where all fields are being used in capturing data; analyzes the query and traverses up ontology branches of an ontology structure of the ontology to create one or more feedback collection schemas based on the received query; collects the feedback data from the particular field based on the one or more feedback collection schemas; assigns the collected feedback data an event under a topic for consumption so that an end user can subscribe to the event and consume the feedback data under the topic as desired.

Abstract: A solution for optimizing the deployment of applications in a cloud-based environment is provided. A method for optimizing the deployment of applications in a cloud-based environment is disclosed. The method is implemented by at least one processor. The method includes receiving at least one user artifacts file for direct deployment on a test environment. Next, the method includes deploying the at least one user artifacts file onto the test environment. Next, the method includes performing a set of testing events on artifacts included in the at least one user artifacts file. Thereafter, the method includes transmitting the at least one user artifacts file for pipeline deployment based on a successful result of the testing events.

Abstract: Various methods, apparatuses/systems, and media for synthetic text generation are disclosed. A processor implements a text style transfer algorithm to first input data to generate complaints data from non-complaint emails data associated with a plurality non-complaint emails; converts the plurality of non-complaint emails into a first set of complaint emails based on implementing the text style transfer algorithm; implements a text generation model algorithm to second input data to generate a second set of complaint emails from a plurality of complaint emails; generates a set of synthetic complaint emails based on the generated first set of complaint emails and the second set of complaint emails; trains a model based on the generated synthetic complaint emails; and applies the trained model to a new set of emails to resolve class imbalance in automatic complaint identification from the new set of emails.

Abstract: A method and a system for preparing a response to a subpoena by using an automated subpoena processing and handling model is provided. The method includes: receiving a first subpoena; extracting a set of informational requests from the first subpoena; retrieving a data set from a memory; analyzing the first data set with respect to the set of informational requests in order to identify items from within the data set that are responsive to items included within the set of informational requests; and generating a report that includes a result of the analysis. The analysis is performed by providing the first subpoena as an input to a Robustly optimized Bidirectional Encoder Representations from Transformers pre-training approach (RoBERTa) model that uses a sub-word approach to modeling words in a sequential format.

Abstract: A method for automating a loan origination process by optimizing parameters used for routing loan origination applications to underwriters and prioritizing the handling of the applications is provided. The method includes: receiving first information that relates to a loan origination application; obtaining parameter values from the first information; retrieving second information that relates to candidate underwriters; generating, based on the parameter values and the second information, a task procedure for processing the loan origination application, including an identification of a target underwriter and requirements for completion of the processing of the loan origination application; transmitting, to the target underwriter, a request message that includes the first information and the task procedure; and receiving a confirmation message indicating that the task procedure is acceptable.

Abstract: A method and a system for maintaining immutability of evidence that relates to software development life cycle data and that is protected from tampering in order to guarantee data integrity and consistency are provided. The method includes: receiving an evidence item that relates to a software development; encrypting the evidence item; storing the encrypted evidence item in a memory; computing a hash value based on the evidence item; and combining the hash value with a hash tree that relates to the software development. The hash tree includes a set of hash values for which there is a one-to-one correspondence with a set of evidence items that are represented in the hash tree. When tampering, such as content alteration or deletion, occurs with respect to an evidence item, the hash values in the hash tree may be used to determine the evidence item for which the tampering has occurred.