COMPUTING DEVICE NOTIFICATION MANAGEMENT SOFTWARE

    公开(公告)号:US20230267026A1

    公开(公告)日:2023-08-24

    申请号:US18309402

    申请日:2023-04-28

    CPC classification number: G06F11/0709 G06F11/0772 G06F11/006 G06F11/0793

    Abstract: Techniques disclosed herein relate to managing notifications to a user associated with a computing device. The notifications correspond to a response to an indication of an exception condition on the computing device. The response to the exception condition includes a plurality of steps, including computer-implemented steps in which data objects output a plurality of notifications for the user. These notifications are processed by a notification choreographer and used to prepare a unified status communication. The unified status communication is output to the user and depicts information corresponding to a plurality of the notifications.

    Detection of anomalous lateral movement in a computer network

    公开(公告)号:US11736503B2

    公开(公告)日:2023-08-22

    申请号:US17013209

    申请日:2020-09-04

    CPC classification number: H04L63/1425 H04L63/0272

    Abstract: Various embodiments of methods for detecting anomalous activity in a computer network are disclosed. A method includes a computer system receiving an indication of a current session establishing a secure channel to a computing device within a network. The computer system evaluates information relating to the current session, as well as information relating to one or more other sessions. Using this information, the computing system performs monitoring to detect the presence of anomalous lateral movement within the network, for example based on detecting multiple user credentials. Based on the evaluating performed, the computer system generates a score for the current session and reports whether the score is indicative of anomalous lateral movement.

    Systems and methods of a virtualized management operation engine of a distributed system

    公开(公告)号:US11734058B2

    公开(公告)日:2023-08-22

    申请号:US17081048

    申请日:2020-10-27

    Abstract: Systems and method are provided for receiving, at a virtualized management operation engine (VMOE) of a distributed system, a management task request from a client for one or more services. The management task request may be to an orchestrator of a first application server of one or more application servers of the distributed system. The first application server having the orchestrator may determine whether the management task request is valid. The first application server having the orchestrator may generate a request message based on the valid management task request. A message bus may broadcast the generated request message to one or more agents of the one or more application servers of the distributed system. The one or more agents may execute an operation based on the request message when the request message is intended for the one or more agents.

    Versioning and cataloging application programming interface (API) specifications

    公开(公告)号:US11733999B2

    公开(公告)日:2023-08-22

    申请号:US17589256

    申请日:2022-01-31

    CPC classification number: G06F8/71 G06F8/65 G06F9/541

    Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically cataloging updated Application Programming Interface (API) specifications with updated version numbers. The API specifications may have been previously published to an application exchange platform. An automatic cataloging tool installed at an API development system may identify an updated API specification committed to an API specification repository. The automatic cataloging tool may identify a base API specification that has been previously published and confirm that a change has been made. The base API specification may correspond to a particular API development branch that has been updated. The automatic cataloging tool may also apply a versioning strategy to automatically determine an updated version number for the updated API specification. The application exchange platform may then replace the previous API specification with the updated API specification and the updated version number.

    REAL-TIME PREDICTIONS BASED ON MACHINE LEARNING MODELS

    公开(公告)号:US20230259831A1

    公开(公告)日:2023-08-17

    申请号:US18304284

    申请日:2023-04-20

    CPC classification number: G06N20/20 G06N7/01

    Abstract: An online system performs predictions for real-time tasks and near real-time tasks based on available network bandwidth. A client device receives a regression based machine learning model. Responsive to receiving a task, the client device determines an available network bandwidth for the client device. If the available network bandwidth is below a threshold, the client device uses the regression based machine learning model to perform the task. If the client device determines that the network bandwidth is above the threshold, the client device extracts features of the task, serializes the extracted features, and transmits the serialized features to an online system, causing the online system to use a different machine learning model to perform the task based on the serialized features.

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