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公开(公告)号:US20240330479A1
公开(公告)日:2024-10-03
申请号:US18194612
申请日:2023-03-31
申请人: BMC Software, Inc,
发明人: Vikram Kamate , Ajoy Kumar
CPC分类号: G06F21/577 , G06F8/65 , G06F2221/033
摘要: Systems and techniques for implementing a change to a plurality of devices in a computing infrastructure include generating a risk prediction model, where the risk prediction model is trained using a combination of supervised learning and unsupervised learning and identifying, using the risk prediction model, a first set of devices from the plurality of devices having a low risk of failure due to implementing the change and a second set of devices from the plurality of devices having a high risk of failure due to implementing the change. A schedule is automatically generated for implementing the change to the first set of devices. The change is implemented on a portion of the first set of devices according to the schedule. The risk prediction model is updated using data obtained from implementing the change on the portion of the first set of devices.
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公开(公告)号:US11637861B2
公开(公告)日:2023-04-25
申请号:US16750323
申请日:2020-01-23
申请人: BMC Software, Inc.
发明人: Siddharth Sukumar Burle , Ajoy Kumar , Manish Jain
摘要: A method for securing a networked computer system executing an application includes identifying a vulnerable computer resource in the networked computer system, determining all computer resources in the networked computer system that are accessible from, or are accessed by, the vulnerable computer resource, and prioritizing implementation of a remediation action to secure the vulnerable computer resource if a vulnerability path extends from the vulnerable computer resource to a critical computer resource that contains sensitive information. The remediation action to secure the vulnerable computer resource is a safe remediation action that does not impact availability of the application executing on the networked computer system.
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公开(公告)号:US11514076B2
公开(公告)日:2022-11-29
申请号:US16946548
申请日:2020-06-26
申请人: BMC Software, Inc.
发明人: Govindarajan Rangarajan , Ajoy Kumar , Narayan Kumar , Douglas Mueller , Matthew D. Connors , Darius Wallace
IPC分类号: G06F16/27
摘要: A first datastore discovers a configuration item (CI), without a persistent unique identifier in a distributed datastores environment. When the first datastore has authoritative naming rights, it determines an authoritative identification for the CI. When the first datastore has advisory naming rights, it suggests a name for the CI to a second datastore having authoritative naming rights. The second datastore determines that a pre-existing identification for the CI in the second datastore is the authoritative identification for the CI. If there is no pre-existing identification for the CI in the second data store, the second data store accepts the suggested name as the authoritative identification for the CI. When the first datastore has no naming rights for the CI, it sends the CI to a third data store having authoritative naming rights for the CI to get an authoritative identification for the CI.
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公开(公告)号:US20210303366A1
公开(公告)日:2021-09-30
申请号:US16836847
申请日:2020-03-31
申请人: BMC Software, Inc.
摘要: A cloud-native proxy gateway is reachable from a central server and from an isolated cloud VM. A method allows legacy (non-cloud native) solutions to establish a secure connection to the isolated cloud VM, even when incoming port flows are not enabled. The method involves transforming a TCP/IP network connection request into a cloud API call, ignoring IP addresses, and instead using a unique cloud resource identifier as the primary network routing methodology. In response to a communication connection request by the central server, the isolated VM establishes a reverse tunnel to the cloud-native proxy gateway. Communication flow initiated by the central server proceeds through the reverse tunnel to the isolated VM, avoiding an issue of duplicate IP addresses in the cloud.
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公开(公告)号:US20230401141A1
公开(公告)日:2023-12-14
申请号:US18332336
申请日:2023-06-09
申请人: BMC Software, Inc.
CPC分类号: G06F11/3608 , G06F11/302 , G06N20/00 , G06N5/04 , G06F11/3419 , G06F11/3447
摘要: Described systems and techniques enable prediction of a state of an application at a future time, with high levels of accuracy and specificity. Accordingly, operators may be provided with sufficient warning to avert poor user experiences. Unsupervised machine learning techniques may be used to characterize current states of applications and underlying components in a standardized manner. The resulting data effectively provides labelled training data that may then be used by supervised machine learning algorithms to build state prediction models. Resulting state prediction models may then be deployed and used to predict an application state of an application at a specified future time.
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公开(公告)号:US20200162497A1
公开(公告)日:2020-05-21
申请号:US16194735
申请日:2018-11-19
申请人: BMC Software, Inc.
发明人: G S Narayan Iyer , Ajoy Kumar , Amit Gupta
IPC分类号: H04L29/06
摘要: A method for securing a service implemented on a computer network includes identifying network assets in the computer network used by the service. The method further includes identifying vulnerabilities in one or more of the network assets, determining an asset risk score for each of the network assets, and determining a service risk score for the service. The method involves implementing one or more vulnerability remediation actions on the computer network to reduce the service risk score and secure the service.
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公开(公告)号:US10324912B2
公开(公告)日:2019-06-18
申请号:US15436144
申请日:2017-02-17
申请人: BMC SOFTWARE, INC.
发明人: Ajoy Kumar , Douglas Mueller , Josie George
IPC分类号: G06F16/215 , G06F16/00 , G06F16/23 , G06F16/901
摘要: In accordance with aspects of the disclosure, systems and methods are provided for normalizing data representing entities and relationships linking the entities including defining one or more graph rules describing searchable characteristics for the data representing the entities and relationships linking the entities, applying the one or more graph rules to the data representing the entities and the relationships linking the entities, identifying one or more matching instances between the one or more graph rules and the data representing the entities and the relationships linking the entities, and performing one or more actions to update the one or more matching instances between the one or more graph rules and the data representing the entities and the relationships linking the entities.
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公开(公告)号:US20140280130A1
公开(公告)日:2014-09-18
申请号:US13842072
申请日:2013-03-15
申请人: BMC SOFTWARE, INC.
发明人: Ajoy Kumar , Douglas Mueller , Josie George
IPC分类号: G06F17/30
CPC分类号: G06F17/30303 , G06F17/30
摘要: In accordance with aspects of the disclosure, systems and methods are provided for normalizing data representing entities and relationships linking the entities including defining one or more graph rules describing searchable characteristics for the data representing the entities and relationships linking the entities, applying the one or more graph rules to the data representing the entities and the relationships linking the entities, identifying one or more matching instances between the one or more graph rules and the data representing the entities and the relationships linking the entities, and performing one or more actions to update the one or more matching instances between the one or more graph rules and the data representing the entities and the relationships linking the entities.
摘要翻译: 根据本公开的方面,提供了系统和方法用于规范表示实体的数据和链接实体的关系,包括定义描述可表示特征的一个或多个图形规则,用于表示实体的数据和链接实体的关系,应用一个或多个 图形规则表示实体的数据和链接实体的关系,识别一个或多个图形规则之间的一个或多个匹配实例和表示实体的数据以及链接实体的关系,以及执行一个或多个动作来更新 一个或多个图形规则之间的一个或多个匹配实例和表示实体的数据以及链接实体的关系。
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公开(公告)号:US20240330755A1
公开(公告)日:2024-10-03
申请号:US18194547
申请日:2023-03-31
申请人: BMC Software, Inc.
IPC分类号: G06N20/00
CPC分类号: G06N20/00
摘要: An incident ticket having a worklog field for a resolution field and a worklog providing a history of actions taken during attempts to resolve an incident may be received. The incident ticket may be processed using a domain-specific machine learning model trained using training data that includes a plurality of resolved incident tickets, to thereby generate at least one resolution statement. Source data used by the domain-specific machine learning model in providing the at least one resolution statement may be determined, the source data including one of the worklog and the training data. A hallucination score may be assigned to the at least one resolution statement, based on the source data, to identify hallucinated content within the at least one resolution statement. The at least one resolution statement may be modified to remove the hallucinated content and thereby obtain a resolution for inclusion in the resolution field.
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公开(公告)号:US11625280B2
公开(公告)日:2023-04-11
申请号:US16836847
申请日:2020-03-31
申请人: BMC Software, Inc.
摘要: A cloud-native proxy gateway is reachable from a central server and from an isolated cloud VM. A method allows legacy (non-cloud native) solutions to establish a secure connection to the isolated cloud VM, even when incoming port flows are not enabled. The method involves transforming a TCP/IP network connection request into a cloud API call, ignoring IP addresses, and instead using a unique cloud resource identifier as the primary network routing methodology. In response to a communication connection request by the central server, the isolated VM establishes a reverse tunnel to the cloud-native proxy gateway. Communication flow initiated by the central server proceeds through the reverse tunnel to the isolated VM, avoiding an issue of duplicate IP addresses in the cloud.
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