Recommended security action feature sets

    公开(公告)号:US10320845B2

    公开(公告)日:2019-06-11

    申请号:US15206632

    申请日:2016-07-11

    Applicant: SPLUNK INC.

    Abstract: Systems, methods, and software described herein provide for identifying recommended feature sets for new security applications. In one example, a method of providing recommended feature sets for a new security application includes identifying a request for the new security application, and determining a classification for the new security application. The method further provides identifying related applications to the new security application based on the classification, and identifying a feature set for the new security application based on features provided in the related applications.

    Security action verification in a computing network

    公开(公告)号:US12074901B1

    公开(公告)日:2024-08-27

    申请号:US18177620

    申请日:2023-03-02

    Applicant: Splunk Inc.

    Abstract: Systems, methods, and software described herein provide for validating security actions before they are implemented in a computing network. In one example, a computing network may include a plurality of computing assets that provide a variety of different operations. During the operations of the network, administration systems may generate and provide security actions to prevent or mitigate the effect of a security threat on the network. However, prior to implementing the security actions within the network, computing assets may exchange security parameters with the administration systems to verify that the security actions are authentic.

    Identifying security actions for responding to security threats based on threat state information

    公开(公告)号:US11025664B2

    公开(公告)日:2021-06-01

    申请号:US16736120

    申请日:2020-01-07

    Applicant: Splunk Inc.

    Abstract: Systems, methods, and software described herein provide security actions based on the current state of a security threat. In one example, a method of operating an advisement system in a computing environment with a plurality of computing assets includes identifying a security threat within the computing environment. The method further includes, in response to identifying the security threat, obtaining state information for the security threat within the computing environment, and determining a current state for the security threat within the computing environment. The method also provides obtaining enrichment information for the security threat and determining one or more security actions for the security threat based on the enrichment information and the current state for the security threat.

    IDENTIFYING AUTOMATED RESPONSE ACTIONS BASED ON ASSET CLASSIFICATION

    公开(公告)号:US20210084066A1

    公开(公告)日:2021-03-18

    申请号:US17104537

    申请日:2020-11-25

    Applicant: Splunk Inc.

    Abstract: Systems, methods, and software described herein provide for responding to security threats in a computing environment based on the classification of computing assets in the environment. In one example, a method of operating an advisement computing system includes identifying a security threat for an asset in the computing environment, and identifying a classification for the asset in relation to other assets within the computing environment. The method further provides determining a rule set for the security threat based on the classification for the asset and initiating a response to the security threat based on the rule set.

    Dynamically updating feature set recommendation databases

    公开(公告)号:US20200344268A1

    公开(公告)日:2020-10-29

    申请号:US16817070

    申请日:2020-03-12

    Applicant: Splunk Inc.

    Abstract: Systems, methods, and software described herein provide for identifying recommended feature sets for new security applications. In one example, a method of providing recommended feature sets for a new security application includes identifying a request for the new security application, and determining a classification for the new security application. The method further provides identifying related applications to the new security application based on the classification, and identifying a feature set for the new security application based on features provided in the related applications.

    Incident response management based on environmental characteristics

    公开(公告)号:US10554687B1

    公开(公告)日:2020-02-04

    申请号:US16142913

    申请日:2018-09-26

    Applicant: Splunk Inc.

    Abstract: Systems, methods, and software described herein provide for managing service level agreements (SLAs) for security incidents in a computing environment. In one example, an advisement system identifies a rule set for a security incident based on enrichment information obtained for the security incident, wherein the rule set is associated with action recommendations to be taken against the incident. The advisement system further identifies a default SLA for the security incident based on the rule set, and obtains environmental characteristics related to the security incident. Based on the environmental characteristics, the advisement system determines a modified SLA for the security incident.

    Security actions for computing assets based on enrichment information

    公开(公告)号:US10476905B2

    公开(公告)日:2019-11-12

    申请号:US15924759

    申请日:2018-03-19

    Applicant: SPLUNK INC.

    Abstract: Systems, methods, and software described herein provide enhancements for implementing security actions in a computing environment. In one example, a method of operating an advisement system to provide actions in a computing environment includes identifying a security incident in the computing environment, identifying a criticality rating for the asset, and obtaining enrichment information for the security incident from one or more internal or external sources. The method also provides identifying a severity rating for the security incident based on the enrichment information, and determining one or more security actions based on the enrichment information. The method further includes identifying effects of the one or more security actions on operations of the computing environment based on the criticality rating and the severity rating, and identifying a subset of the one or more security actions to respond to the security incident based on the effects.

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