SYSTEMS AND METHODS FOR DETERMINING DATA MIGRATION USING AN AUTOMATED QUERY ANALYZER TOOL

    公开(公告)号:US20250068461A1

    公开(公告)日:2025-02-27

    申请号:US18237257

    申请日:2023-08-23

    Abstract: Systems, computer program products, and methods are described herein for determining data migration using an automated query analyzer tool. The present disclosure is configured to identify at least one input data set associated with at least one application; analyze, by an automated query analyzer tool, the at least one input data set; classify data of the at least one data set as at least one of a standard classification or a non-standard classification; determine at least one metric for the data of the at least one data set; generate a query complexity score for the at least one application; generate an application migration complexity report and an application migration complexity report interface component; and transmit the application migration complexity report interface component to a user device and configure a graphical user interface of the user device with the application migration complexity report interface component.

    USING ARTIFICIAL INTELLIGENCE (AI) FOR RECONCILIATION OF MIGRATED INFORMATION

    公开(公告)号:US20250053307A1

    公开(公告)日:2025-02-13

    申请号:US18231381

    申请日:2023-08-08

    Abstract: A computing platform may train, using historical information migration error information, an information reconciliation engine to predict information migration errors. The computing platform may detect migration of information from a source information system to a target information system. The computing platform may generate, by inputting the information into the information reconciliation engine, a list of predicted migration errors. The computing platform may sample the migrated information to identify a list of real time migration errors. The computing platform may identify corrective actions to address the list of predicted migration errors and the list of real time migration errors. The computing platform may generate, based on the corrective actions, a configuration file. The computing platform may execute, using the configuration file and on the migrated information, a reconciliation process that remediates errors on both the list of predicted migration errors and the list of real time migration errors.

    VIDEO QR CODE AUTHENTICATION
    5.
    发明申请

    公开(公告)号:US20250036739A1

    公开(公告)日:2025-01-30

    申请号:US18226332

    申请日:2023-07-26

    Abstract: A video QR code may be used to authenticate a user using a user device. The video QR code may include a video in which a QR code is shown in motion over a time interval. The movement may be, for example, a change in position or orientation of the QR code. The authentication process may include generating the video QR code, causing a display of the video QR code, capturing, with the user device from the display, images of the QR code at specified times during the video, and determining whether there is a match between the captured images on the user device and the displayed images at the specified times. The authentication may also confirm the geolocation of the user device and the display match. The QR code may be extracted from the images. User access to a system may be granted upon verification of the QR code.

    DETECTING POLYMORPHIC BOTNETS USING AN IMAGE RECOGNITION PLATFORM

    公开(公告)号:US20250030717A1

    公开(公告)日:2025-01-23

    申请号:US18224902

    申请日:2023-07-21

    Abstract: Arrangements for detecting polymorphic botnets using a pattern matching engine are provided. The platform may train a pattern matching engine to generate image pattern statuses based on a training set of historical image patterns. The platform may automatically generate real-time interaction information based on monitoring interactions between user devices and cloud platforms. The platform may generate a potentially malicious image pattern based on the real-time interaction information. The platform may then input the image pattern into the pattern matching engine to generate an image pattern status for the image pattern. The platform may store the image pattern to a pattern storage repository. Based on identifying the image pattern as malicious, the platform may initiate a security action. The platform may update the pattern matching engine based on the image pattern and its image pattern status to detect future polymorphic botnet attacks.

    CLOUD GOVERNANCE ASSESSMENT ENGINE LEVERAGING ARTIFICIAL INTELLIGENCE (AI)

    公开(公告)号:US20250021699A1

    公开(公告)日:2025-01-16

    申请号:US18221469

    申请日:2023-07-13

    Abstract: A cloud governance assessment engine using artificial intelligence (AI) may assess privacy, regulatory, and security concerns before migrating an organization's information technology (IT) services from an on-premises data center to a proposed cloud infrastructure. The assessment may consider whether the proposed cloud infrastructure is able to maintain the governance rules currently implemented at the on-premises data center. The cloud assessment engine may train and use a cloud governance assessment model to analyze, using AI, properties of the proposed cloud infrastructure to determine governance risks. Scoring may be automatically generated by the cloud governance assessment engine based on the risks to evaluate whether the cloud infrastructure meets the requirements of the organization or whether changes to the cloud infrastructure are warranted. The cloud governance assessment engine may make a recommendation for acceptance of a proposed cloud infrastructure or may propose changes to the cloud infrastructure to meet cloud governance requirements.

    MULTIDIMENSIONAL TRANSACTION PATTERN TRACKING AND PREDICTION

    公开(公告)号:US20240185248A1

    公开(公告)日:2024-06-06

    申请号:US18072918

    申请日:2022-12-01

    CPC classification number: G06Q20/4016 G06Q20/102 G06Q20/4014

    Abstract: Systems and methods for multidimensional transaction pattern tracking and prediction are provided. A method includes detecting a series of transactions associated with a remote user device and generating a multidimensional transactional profile. Generating the multidimensional transactional profile may involve a first ML model generating a first score representing a first dimension, and a second ML model generating a second score representing a second dimension. The method also includes selecting weightings for the scores, and combining the weighted scores to create the multidimensional transactional profile. The method also includes generating a list of recommended transactional activities and a list of flagged transactional activities, transmitting the list of recommended transactional activities to the remote user device, and detecting additional transactions originating from the account associated with the remote user device. In response to one of the transactions being from the flagged list, the method includes triggering an alert.

    SYSTEMS AND METHODS FOR CENTRALIZED DATA GOVERNANCE WITHIN DISTRIBUTED COMPONENT COMPUTING ENVIRONMENTS

    公开(公告)号:US20240144076A1

    公开(公告)日:2024-05-02

    申请号:US17976546

    申请日:2022-10-28

    CPC classification number: G06N20/00

    Abstract: Systems, methods, and computer program products are provided herein for centralized data governance within distributed component computing environments. An example method includes receiving first component metadata associated with one or more operating parameters of the first distributed computing component and second component metadata associated with one or more operating parameters of the second distributed computing component. The method includes determining, via a machine learning (ML) subsystem, a centralized governance dataset based upon the first component metadata and the second component metadata. The method further includes generating a representation of the centralized governance dataset that is accessible by one or more of the first distributed computing component or the second distributed computing component.

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