Securely managing authentication information for automated incident responses

    公开(公告)号:US11586722B2

    公开(公告)日:2023-02-21

    申请号:US17106001

    申请日:2020-11-27

    Applicant: Splunk Inc.

    Abstract: Described herein are improvements for responding to incidents in an information technology (IT) environment. In one example, a method includes, in an incident response system, receiving authentication information for use by a first component for responding to an incident in an information technology (IT) environment. The method further includes encrypting the authentication information and storing the authentication information in the incident response system along with encrypted parameters for operating the first component. In the incident response system, upon determining that the first component requires the authentication information for an interaction, the method provides retrieving the authentication information and providing the authentication information to the first component.

    Model driven state machine transitions to configure an installation of a software program

    公开(公告)号:US11579860B2

    公开(公告)日:2023-02-14

    申请号:US17563598

    申请日:2021-12-28

    Applicant: Splunk Inc.

    Abstract: Disclosed are embodiments of a installed software program that receive a model from a product management system. The model is trained to select one of a plurality of predefined states based on operational parameter values of the installation of the software program. Each of the plurality of predefined states define configuration values of the installation of the software program. The defined configuration values indicate, in some embodiments, updates to operational parameter values of the installation of the software program.

    Interfaces for data monitoring and event response

    公开(公告)号:US11579764B1

    公开(公告)日:2023-02-14

    申请号:US16945477

    申请日:2020-07-31

    Applicant: SPLUNK INC.

    Abstract: A computing device is coupled to a display device, and includes a data monitoring software application program executing on a processor within a data monitoring system. Via the data monitoring software application program, various techniques are performed for generating user interfaces for data monitoring and event response. In a first technique, the data monitoring software application program displays a user interface that includes a first region including a data visualization and a second region including one or more images of a video stream. In a second technique, the data monitoring software application program generates a user interface associated with an event, receive an input corresponding to interaction with a user interface element in the user interface, and initiates an event channel associated with the event in response to the input.

    Guided workflows for machine learning-based data analyses

    公开(公告)号:US11574242B1

    公开(公告)日:2023-02-07

    申请号:US16399964

    申请日:2019-04-30

    Applicant: Splunk Inc.

    Abstract: Techniques are described for providing a ML data analytics application including guided ML workflows that facilitate the end-to-end training and use of various types of ML models, where such guided workflows may also be referred to as ML “experiments.” For example, the ML data analytics application may enable users to create experiments related to prediction of numeric fields (for example, using linear regression techniques), predicting categorical fields (for example, using logistic regression), detecting numerical outliers (for example, using various distribution statistics), detecting categorical outliers (for example, using probabilistic statistics), forecasting time series data, and clustering numeric events (for example, using k-means, density-based spatial clustering of applications with noise (DBSCAN), spectral clustering, or other techniques), among other possible uses of various types of ML models to analyze data.

    Recommending Query Parameters Based on Tenant Information

    公开(公告)号:US20230031327A1

    公开(公告)日:2023-02-02

    申请号:US17811821

    申请日:2022-07-11

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for recommending query parameters to a user based on tenant information. The system can identify a token query parameter from a portion of a query entered in a user interface. The token query parameter can correspond to a system query parameter, such as a query command, a function, etc., or to a user query parameter. The system can identify a tenant of a distributed data intake and query system that is associated with the query. Based on the token query parameter, the system can identify at least one query parameter associated with the tenant. The at least one query parameter can include one or more query parameters previously entered by the user or other users of the tenant, etc. The system can cause the user interface to display one or more recommended query parameters for inclusion in the query.

    Hybrid structured/unstructured search and query system

    公开(公告)号:US11567978B2

    公开(公告)日:2023-01-31

    申请号:US17332070

    申请日:2021-05-27

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    PARTIALLY TYPED SEMANTIC BASED QUERY EXECUTION OPTIMIZATION

    公开(公告)号:US20230015186A1

    公开(公告)日:2023-01-19

    申请号:US17944065

    申请日:2022-09-13

    Applicant: Splunk Inc.

    Abstract: A method includes receiving an initial pipeline including a sequence of commands for execution on a computing system, and obtaining, for each command in the sequence of commands, semantic information. The sequence of commands includes a command with incomplete semantic information. The method further includes generating an abstract semantic tree (AST) with the semantic information and a placeholder for the incomplete semantic information, and manipulating the AST to generate a revised AST. The revised AST corresponds to a revised pipeline that reduces an execution time on the computing system. The method further includes executing the revised pipeline.

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