Jpmorgan Chase Bank, N.a.

Kumar Rao Krishnagi

Matthew J Porter

Mark Alan Wells

Vijay Kumar Perla

Nalini S Boda

Laxman Dongisharapu

Jerome Joseph

Sharmila Prakash

Suresh Madhavan

Satvika Eda

Sandeep Reddy Banala

Rupa Shah

Robert B Grant

Kenneth S Brooks

Ramu Kizhakkey

Heidi Middleton

Andrea Johnson

Najma Aden

Cristine Santos

Swathi Govindarao

Ananth Rajasekaran

Deepak Chhabra

Lakshmipavankumar Vegirouthu

Ritu Shrivastava

Gaurav Chawla

Vaibhav Vaibhav

Vineshkumar Dharmalingam

Kritsakorn Chaumpanich

Christopher Mathews

Kevin Carrier

Stefan Schubert

Siva Tanuku

Neaz Ahmed Kishore

Srikanth Malireddy

Josh Hall

Various methods, apparatuses/systems, and media for enablement of application controls are disclosed. A processor implements a centralized database to serve as a system of record for application controls for an application, the centralized database storing control data associated with application controls; calls a first API to register the application controls associated with the application onto the centralized database; calls a second API to obtain the control data from the centralized database; develops control objectives and control procedures as rules to enable linkage of pre implementation validation checks for the application; integrates the centralized database with continuous integration and a continuous delivery (CICD) pipeline; executes the rules in the CICD pipeline to test the control data in a periodic manner; and automatically transmits the application to a production environment when it is determined that the control data passed the test executed by the CICD pipeline.

System, method, and computer program for application controls enablement

Various methods, apparatuses/systems, and media for detecting login fraud based on a machine learning model are disclosed. A processor creates a machine learning model configured to be trained to generate a score based on user's biometrics data and a pattern of activity logs data of the user; trains the machine learning model with the user biometrics data and the pattern of activity logs data in real-time; receives user credentials data from the user for login attempt into a system; compares the received user credentials data with the biometrics data and the pattern of activity logs data of the user stored on a database and the machine learning model; and generates the score, in response to comparing, by utilizing the trained machine learning model. The score is a value that the processor compares with a predetermined threshold value to determine in real-time whether the login attempt is fraudulent.

System and method for detecting login fraud based on a machine learning model

A method for facilitating automated application management based on activity is disclosed. The method includes monitoring metrics that correspond to an application, the metrics including a network traffic metric; determining, for the application, whether the metrics satisfy a predetermined threshold, the predetermined threshold including an idle time threshold; deactivating the application when the corresponding metrics satisfy the predetermined threshold; receiving, from a client application, a request for the deactivated application; initiating a health check for the application in response to the request; and activating the application based on a result of the health check.

Method and system for automated application management

Password-less authentication and login onto an application are disclosed. A processor extracts Digital Driver's License (DDL) data from a user's computing device; extracts the DDL data of the user from an external database (i.e., DMV); validates the DDL data by comparing with the DDL data from the external database; creates, in response to validating, a DDL secret private key; allows successful registration of the computing device to utilize DDL data for login; and stores the DDL secret private key onto an internal database and a secured environment of the computing device. At login request by the user, when the processor determines that the computing device is successfully registered, it validates the DDL secret private key by comparing with data from the internal database; creates a new DDL secret private key and updates the internal database and the secured environment with the new DDL secret private key for subsequent login.

System and method for password-less authentication through digital driving license

Various methods, apparatuses/systems, and media for automatically upgrading an application are disclosed. A processor creates a dynamic machine learning (ML) model; trains the dynamic ML model and scans for SDK upgrade for the application against the dynamic ML model by implementing ML algorithm for predictions. The processor executes the SDK upgrade in response to detecting that the training of the dynamic ML model is completed to trigger the processor to perform the following automated processes: implement the ML algorithm against the trained dynamic ML model to generate predictive results data for deprecated reference corresponding to the application; evaluate the predictive results data to determine whether there is a match for the deprecated reference; and when it is determined that there is a match for the deprecated reference, automatically replace code and upgrade the application to newer version of the programming language specification.

System and method for implementing a platform and language agnostic smart SDK upgrade module

Various methods, apparatuses/systems, and media for accessing a plurality of resources with a single authentication pass are disclosed. A processor successfully allows login a user into an application embedded within a user computing device based on a positive facial recognition result for gaining access to a building; generates, in response to successful login, a quick response (QR) code and a near field communication (NFC) tag; causes a security system installed in an entry point to the building to read the QR code or the NFC tag in response to bringing the user computing device close to the security system; authenticates the user based on successful reading of the QR code or the NFC tag; and configures the QR code or the NFC tag as a single authentication pass allowing the user to enter the building and access the plurality of resources for a predetermined configurable period.

System and method for implementing a one authorization application module

Various methods, apparatuses/systems, and media for programmatically generating and rotating secrets for applications to read them to connect to various services are disclosed. A processor determines, in a preconfigured time interval, whether secrets/credentials corresponding to a service provider has been changed; calls a first API to retrieve the changed secrets/credentials from the corresponding service provider; stores the changed secrets/credentials to a corresponding predefined location; causes an application to call a second API to retrieve the changed secret or the credential from the corresponding predefined location; and automatically establishes a connection between the application and the corresponding service provider based on a determination that the changed secrets/credentials retrieved from the predefined location matches with the changed secrets/credentials retrieved from the corresponding service provider during the preconfigured time interval.

System, method, and computer program for smart secret rotator

A method for facilitating session data persistence and management is disclosed. The method includes receiving a first indication from an application, the first indication relating to an initiation of a first session; compiling session data from the application, the session data relating to a state of the application; receiving a termination indication from the application, the termination indication relating to a termination of the first session; persisting, in a session cache, the session data based on the termination indication; receiving a second indication from the application, the second indication relating to an initiation of a second session; identifying the corresponding session data in the session cache by using the second indication; and automatically injecting the identified session data into the application.

Method and system for persisting session data

Various methods, apparatuses/systems, and media for automatically detecting discrepancy between preset data and input data are provided. A processor implements a platform and language agnostic smart data discrepancy detection module that automatically detects discrepancy between preset data and input data (i.e., larger than the preset data) during data processing of a commercial transaction involving a gratuity, particularly when a credit card payment is being made. The processor also implements an optimized processes of conducting a commercial transaction that includes a gratuity data based on user preferences that are obtainable from an application during execution thereof, and automatically alerts the user when data discrepancy is detected, i.e., when the gratuity data is more than preset gratuity data set by the user on the application.

System and method for automated data discrepancy detection between preset data and input data

A method and a system for detecting suspicious transactions and providing warnings in advance of executing the transactions in order to prevent fraud are provided. The method includes: receiving a request to conduct a transaction with an entity by using a digital payment application, the request including first profile information that relates to the entity; retrieving second profile information that relates to the requestor; comparing the first profile information with the second profile information; and determining, based on a result of the comparison, whether to suspend the requested transaction. When a determination is made that the proposed transaction may be fraudulent, the transaction may be suspended and a warning message may be sent to the requestor in order to afford an opportunity to avoid the fraud.

Method and system for fraud prevention

A method for providing an application to facilitate authenticated file transfers across a plurality of computing platforms is disclosed. The method includes receiving, from a client application, a call to perform an action, the call including a message to transfer a file; validating, by using an identity federation service, the call based on the message; authorizing the call and the client application based on a result of the validating; accessing a networked repository via a secured communication protocol when the call and the client application is authorized; and initiating the action.

Method and system for multiplatform file transfer

Various methods, apparatuses/systems, and media for implementing a smart failover module is disclosed. A processor detects an application specific system fault or degradation event in a first availability zone (AZ) on which an application is running during normal runtime of the application; determines, in response to detecting the application specific system fault or degradation event, whether the application includes an active-passive application infrastructure in which the first AZ is paired with a passive AZ; enables traffic, in connection with running or deployment of the application, on the passive availability zone in response to determining that the application includes an active-passive application infrastructure; and disables traffic from the first AZ on which the application specific system fault or degradation has been detected in response to determining that the application does not include an active-passive application infrastructure and/or in response to enabling traffic on the passive AZ.

System and method for implementing a smart failover module

Various methods, apparatuses/systems, and media for automatically controlling operating state of one or more applications in a distributed operating system are disclosed. A processor creates a filesystem that contains a script configured for interacting with a distributed operating system application programming interface (API); and integrates the filesystem with a scheduler module to be run on a predefined schedule. The processor also creates a container, in response to the predefined schedule, in the distributed operating system, the container having the script installed therein; calls the distributed operating system API to obtain a list of applications in the distributed operating system based on the script; automatically controls the operating state of the corresponding one or more applications in the distributed operating system in response to the predefined schedule and the script; and destroys the container after controlling the operating state of the corresponding one or more applications.

System and method for automatically controlling operating state of an application

Various methods, apparatuses/systems, and media for implementing a smart cloud deployment module is disclosed. A datacenter stores information data of all availability zones (AZs) associated with deployment of an application. A processor builds an availability zone (AZ) application programming interface (API) and calls the AZ API to retrieve the information data from the datacenter; dynamically and automatically determines, in response to calling the AZ API, prior to deploying the application, whether a first AZ defined in a deployment pipeline among the AZs within the datacenter is healthy for deployment of the application; and deploys the application utilizing the deployment pipeline when it is determined that the first AZ defined in the deployment pipeline is healthy. The processor also checks for another healthy AZ within the same datacenter or within other regions outside of the datacenter when it is determined that the first AZ is not healthy.

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Powell, OH, United States of America

Kumar Rao Krishnagi