Prioritize endpoint selection based on criteria

    公开(公告)号:US11770411B2

    公开(公告)日:2023-09-26

    申请号:US16579028

    申请日:2019-09-23

    Applicant: KYNDRYL, INC.

    CPC classification number: H04L63/20 G06F8/65 G06F9/4881 H04L63/1433

    Abstract: A method, system, and computer program product for prioritizing endpoints to be checked during a change window based on certain criteria. The method may include receiving a request for processing from a plurality of servers. The method may also include determining a priority for each server of the plurality of servers based on specified criteria, where the specified criteria includes at least compliance-check history. The method may also include determining whether each server belongs to one or more groups. The method may also include determining a notification order for the plurality of servers based on the priority and whether each server belongs to the one or more groups. The method may also include sending a notification to each server in the notification order.

    Semantic consistency of explanations in explainable artificial intelligence applications

    公开(公告)号:US11423334B2

    公开(公告)日:2022-08-23

    申请号:US16870202

    申请日:2020-05-08

    Applicant: KYNDRYL, INC.

    Abstract: An explainable artificially intelligent (XAI) application contains an ordered sequence of artificially intelligent software modules. When an input dataset is submitted to the application, each module generates an output dataset and an explanation that represents, as a set of Boolean expressions, reasoning by which each output element was chosen. If any pair of explanations are determined to be semantically inconsistent, and if this determination is confirmed by further determining that an apparent inconsistency was not a correct response to an unexpected characteristic of the input dataset, nonzero inconsistency scores are assigned to inconsistent elements of the pair of explanations. If the application's overall inconsistency score exceeds a threshold value, the system forwards information about the explanation, the offending modules, and the input dataset to a downstream machine-learning component that uses this information to train the application to better respond to future input that shares certain characteristics with the current input.

    Multi-layered computing system attribute dependency

    公开(公告)号:US11269753B2

    公开(公告)日:2022-03-08

    申请号:US16866893

    申请日:2020-05-05

    Applicant: Kyndryl, Inc.

    Abstract: A method, computer program product, and a system where a processor(s) obtains, from a data source, a list of objects at different layers of a computing system. The processor(s) generates exploration lists from the list (each exploration list with objects for a layer). The processor(s) identifies updated and new data at the layers associated with the objects on the list; the identified data comprises attributes for each layer. The processor(s) applies machine learning algorithm(s) to enrich the data by identifying dependencies between the attributes for each layer as influencers for one or more key performance indicators of the computing system. The processor(s) generates, from the enriched data, a hierarchy matrix. The processor(s) determines, based on the hierarchy matrix that an event associated with one or more computing resources of the computing system will influence a particular key performance indicator.

    SECURE AND CONTACTLESS DEBIT TRANSACTIONS
    5.
    发明公开

    公开(公告)号:US20240232839A9

    公开(公告)日:2024-07-11

    申请号:US17970796

    申请日:2022-10-21

    Applicant: KYNDRYL, INC.

    Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.

    Multi-factor authentication utilizing device pairing

    公开(公告)号:US11349833B2

    公开(公告)日:2022-05-31

    申请号:US16826231

    申请日:2020-03-21

    Applicant: KYNDRYL, INC.

    Abstract: Aspects of the present invention disclose a method, computer program product, and system for multi-factor authentication. In response to a request for an action, the method includes one or more processors whether a first authentication credential passes validation. In response to determining that the first authentication credential does pass validation, the method further includes one or more processors determining a second authentication credential, wherein the second authentication credential includes an indication of a wireless connection between a first computing device and a second computing device. The method further includes one or more processors determining whether the second authentication credential passes validation. In response to determining that the second authentication credential passes validation, the method further includes one or more processors allowing execution of the requested response.

    SECURE AND CONTACTLESS DEBIT TRANSACTIONS
    7.
    发明公开

    公开(公告)号:US20240135348A1

    公开(公告)日:2024-04-25

    申请号:US17970796

    申请日:2022-10-20

    Applicant: KYNDRYL, INC.

    Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.

    Secure and contactless debit transactions

    公开(公告)号:US12106273B2

    公开(公告)日:2024-10-01

    申请号:US17970796

    申请日:2022-10-21

    Applicant: KYNDRYL, INC.

    Abstract: A method is provided that includes configuring a cellular phone to function as a mobile debit card by installing an application for contactless interfacing with ATMs. The method supplements the application with a neural network (NN) based biometric verification process configured to reduce an incorrect user error value over time to increasingly harden the application to undesired intrusion. The NN based biometric verification process comprises: performing an initial face recognition; greeting the user with one of a plurality of questions in a specific language of the user and evaluating a pre-defined answer provided from the user in the specific language; and detecting, in an acoustic utterance having dialogue in support of an ATM session, a voice and a prosody style indicative of the user in combination with lip and face movements made by the user corresponding to and in synchronization with the acoustic utterance.

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