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公开(公告)号:GB2582460B
公开(公告)日:2021-01-20
申请号:GB202006140
申请日:2018-09-25
Applicant: IBM
Inventor: JINHO HWANG , MOHAMMED FAITH BULUT , VUGRANAM SREEDHAR , SAI ZENG
Abstract: Techniques for dynamic server groups that can be patched together using stream clustering algorithms, and learning components in order to reuse the repeatable patterns using machine learning are provided herein. In one example, in response to a first risk associated with a first server device, a risk assessment component patches a server group to mitigate a vulnerability of the first server device and a second server device, wherein the server group is comprised of the first server device and the second server device. Additionally, a monitoring component monitors data associated with a second risk to the server group to mitigate the second risk to the server group.
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公开(公告)号:GB2593657A
公开(公告)日:2021-09-29
申请号:GB202110941
申请日:2020-01-22
Applicant: IBM
Inventor: SAI ZENG , ALEXEI KARVE , UBAID ULLAH HAFEEZ
Abstract: Techniques for managing performing patches on a workload associated with a computing platform are presented. A patch identifier component can identify the workload associated with the computing platform. The workload can comprise a first workload portion upon which a first subset of patches can be performed offline and a second workload portion upon which a second subset of patches can be performed online. A patch management component can determine, for the first workload portion, a portion of the first subset of patches that can be performed within a maintenance time window while offline based on vulnerability scores of patches of the first subset of patches, and can determine, for the second workload portion, the second subset of patches that can be performed while online. The patch management component can determine the vulnerability scores of the patches of the first subset of patches based on importance levels of the patches.
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公开(公告)号:GB2582460A
公开(公告)日:2020-09-23
申请号:GB202006140
申请日:2018-09-25
Applicant: IBM
Inventor: JINHO HWANG , MOHAMMED FAITH BULUT , VUGRANAM SREEDHAR , SAI ZENG
Abstract: Techniques for dynamic server groups that can be patched together using stream clustering algorithms, and learning components in order to reuse the repeatable patterns using machine learning are provided herein. In one example, in response to a first risk associated with a first server device, a risk assessment component patches a server group to mitigate a vulnerability of the first server device and a second server device, wherein the server group is comprised of the first server device and the second server device. Additionally, a monitoring component monitors data associated with a second risk to the server group to mitigate the second risk to the server group.
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公开(公告)号:GB2615046B
公开(公告)日:2025-01-08
申请号:GB202306536
申请日:2021-08-31
Applicant: IBM
Inventor: MUHAMMED FATIH BULUT , MILTON H HERNANDEZ , ROBERT FILEPP , SAI ZENG , STEVEN OCEPEK , SRINIVAS BABU TUMMALAPENTA , DANIEL S RILEY
Abstract: Systems and techniques that facilitate automated health-check risk assessment of computing assets are provided that can generate a baseline health-check risk score that corresponds to non-compliance of a computing asset with a stipulated control, and can adjust the baseline health-check risk score based on a weakness factor of the stipulated control, an environmental factor of the computing asset, a criticality factor of the computing asset, and a maturity factor of the computing asset.
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