公开(公告)号：US20190034499A1

公开(公告)日：2019-01-31

申请号：US15663723

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N3/08

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US12135788B1

公开(公告)日：2024-11-05

申请号：US17390290

申请日：2021-07-30

Applicant: Splunk Inc.

Inventor： Namratha Sreekanta ,  Nikesh Padakanti

IPC: G06F16/2457 ,  G06F16/245 ,  G06F21/57 ,  G06F40/56

Abstract: Techniques are described for enabling an application to automatically generate text narratives explaining risk scores assigned to risk objects. The application uses natural language generation (NLG) techniques to enable the automatic create text narratives providing context and explanation for risk scores. The described approaches use data from a variety of data sources (e.g., risk event indexes, correlation search data, attack framework data, etc.) to create compelling and useful explanations of the risk analysis associated with identified risk objects. These automatically generated text narratives can be readily presented in any number of different interfaces without the need for complex visualizations or user effort to derive the same information. The automatically created text narratives enable users to better understand the risk analysis for particular risk objects, obtain storylines detailing risk objects' activity patterns over time, and to better analyze, triage, and mitigate IT environment risks based on such information.

公开(公告)号：US10565196B2

公开(公告)日：2020-02-18

申请号：US15663726

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/30 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/248 ,  G06F16/2452 ,  G06N5/04 ,  G06N3/08 ,  G06N5/02 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US20190034813A1

公开(公告)日：2019-01-31

申请号：US15663725

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06N5/04 ,  G06N99/00 ,  G06F17/30

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US10885026B2

公开(公告)日：2021-01-05

申请号：US15663720

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/2452 ,  G06N5/04 ,  G06F16/2455 ,  G06F16/2458 ,  G06N20/10 ,  G06F16/33 ,  G06N3/08 ,  G06N5/02 ,  G06F40/30 ,  G06F40/35 ,  G06F40/186

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US20190034555A1

公开(公告)日：2019-01-31

申请号：US15665104

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Aungon Nag Radon ,  Dayanand Pochugari ,  Adam Oliner ,  Nikesh Padakanti ,  Anand Srinivasabagavathar ,  Neeraj Verma

IPC: G06F17/30 ,  G06F17/27 ,  G06N5/04

Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.

公开(公告)号：US20190034500A1

公开(公告)日：2019-01-31

申请号：US15665118

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Aungon Nag Radon ,  Adam Oliner ,  Nikesh Padakanti ,  Roussi Roussev

IPC: G06F17/30

Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.

公开(公告)号：US20190034498A1

公开(公告)日：2019-01-31

申请号：US15663721

申请日：2017-07-29

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F17/30 ,  G06N3/08

CPC classification number: G06F16/248 ,  G06F16/2423 ,  G06F16/243 ,  G06F16/24522 ,  G06N3/08 ,  G06N5/022 ,  G06N5/046 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US11914588B1

公开(公告)日：2024-02-27

申请号：US17943037

申请日：2022-09-12

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Neeraj Verma ,  Nikesh Padakanti ,  Aungon Nag Radon ,  Anand Srinivasabagavathar ,  Adam Oliner

IPC: G06F16/2453 ,  G06N20/00 ,  G06F16/248 ,  G06F16/2452 ,  G06N5/046 ,  G06N3/08 ,  G06N5/022 ,  G06N20/10

CPC classification number: G06F16/24534 ,  G06F16/248 ,  G06F16/24522 ,  G06N3/08 ,  G06N5/022 ,  G06N5/046 ,  G06N20/00 ,  G06N20/10

Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.

公开(公告)号：US11494395B2

公开(公告)日：2022-11-08

申请号：US15665118

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Dipock Das ,  Dayanand Pochugari ,  Aungon Nag Radon ,  Adam Oliner ,  Nikesh Padakanti ,  Roussi Roussev

IPC: G06F16/248 ,  G06F16/242 ,  G06F16/2452 ,  G06N5/04 ,  G06N5/02

Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. As described, the NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.