Medication security and healthcare privacy systems

    公开(公告)号:US11450419B1

    公开(公告)日:2022-09-20

    申请号:US16399610

    申请日:2019-04-30

    Applicant: Splunk Inc.

    Inventor: Gleb Esman

    Abstract: Medication security and healthcare privacy analytics systems are described that enable users to search for and process stored healthcare environment data. The medication security and healthcare privacy analytics systems receive and correlate data from a plurality of data sources, including medication dispensing systems, healthcare employee records, and patient records, including user behavior or interaction data with the foregoing data sources. The medication security and healthcare privacy analytics systems include graphical user interfaces (GUIs) that enable users to select elements to filter the processed healthcare environment data and generate visualizations of filtered datasets. The visualizations are created using datasets generated by clustering algorithms and can indicate those users from a plurality of users whose interactions with various systems are anomalous (e.g., indicative of unexpected or non-customary user behavior).

    Determining a record generation estimate of a processing task

    公开(公告)号:US11442935B2

    公开(公告)日:2022-09-13

    申请号:US16397930

    申请日:2019-04-29

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for determining a record generation estimate related to a particular processing task. The system obtains a sample set of data that includes multiple records. The system applies a processing task, such as a transform or regular expression rule to the sample set of data and determines how many records are generated by the processing task. Based on the number of records generated, the system determines a record generation estimate. The system can use the record generation estimate to allocate compute resources or determine a query execution time for at least a portion of the query based on the record generation estimate.

    Executing playbooks including multi-prompt blocks

    公开(公告)号:US11429354B2

    公开(公告)日:2022-08-30

    申请号:US17082676

    申请日:2020-10-28

    Applicant: Splunk Inc.

    Abstract: Techniques are described for enabling users to add custom code function blocks and multi-prompt blocks to customizable playbooks that can be executed by an orchestration, automation, and response (OAR) platform. At a high level, a playbook comprises computer program code and possibly other data that can be executed by an OAR platform to carry out an automated set of actions. A playbook is comprised of one or more functions or codeblocks, where each codeblock contains program code that performs defined functionality when the codeblock is encountered during execution of the playbook of which it is a part. For example, a first codeblock may implement an action that is performed relative to one or more IT assets, another codeblock might filter data generated by the first codeblock in some manner, and so forth.

    Identifying evidence within an information technology (IT) operations platform

    公开(公告)号:US11416561B1

    公开(公告)日:2022-08-16

    申请号:US16429044

    申请日:2019-06-02

    Applicant: Splunk Inc.

    Abstract: Techniques are described for enabling analysts and other users of an IT operations platform to identify certain data objects managed by the platform (for example, events, files, notes, actions results, etc.) as “evidence” when such data objects are believed to be of particular significance to an investigation or other matter. For example, an event generated based on data ingested from an anti-virus service and representing a security-related incident might include artifacts indicating an asset identifier, a hash value of a suspected malicious file, a file path on the infected endpoint, and so forth. An analyst can use various interfaces and interface elements of an IT operations platform to indicate which of such events and/or artifacts, if any, represent evidence in the context of the investigation that the analyst is conducting. In response, the IT operations platform can perform various automated actions.

    Precise scaling of virtual objects in an extended reality environment

    公开(公告)号:US11410403B1

    公开(公告)日:2022-08-09

    申请号:US17163148

    申请日:2021-01-29

    Applicant: SPLUNK INC.

    Abstract: A mobile device is fitted with a camera and an extended reality (XR) software application program executing on a processor within an XR system. Via the XR software application program, various techniques are performed for manipulating virtual objects in an XR environment. In a first technique, the XR software application program facilitates the movement of a virtual object from a first location to a second location. In a second technique, the XR software application program facilitates the rotation of a virtual object. In a third technique, the XR software application program facilitates the scaling of a virtual object along one or more axes.

    Creating and communicating data analyses using data visualization pipelines

    公开(公告)号:US11409756B1

    公开(公告)日:2022-08-09

    申请号:US16147714

    申请日:2018-09-29

    Applicant: Splunk Inc.

    Abstract: An integrated data analytics tool is described that enables users to efficiently create and communicate data analysis flows or storylines. The data analytics tool includes graphical user interfaces (GUIs) that enable users to create data analysis “pipelines” that serve as both a visual and technical representation of a data analysis flow. Among other features, a data analysis pipeline enables users to easily add and link related data visualizations in a pipeline, to update datasets and filters associated with data visualizations in a pipeline and to have those updates be propagated automatically to other visualizations in the pipeline, and to create side-by-side comparisons of visualizations based on different datasets/filters. Users presented with such data visualization pipelines can also interact with the visualizations and dynamically update a displayed analysis by selecting different datasets, filters, pipeline paths, and so forth.

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