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公开(公告)号：US20200233842A1
公开(公告)日：2020-07-23
申请号：US16842260
申请日：2020-04-07
IPC分类号： G06F16/21 , H04L29/06 , G06F16/9535 , G06F21/62
摘要： When tenants migrate data from on-premises archiving solutions to a hosted service, tenants should maintain just enough data for compliance purposes and dispose of data that is no longer needed to reduce overall liability and compliance risk exposure. Embodiments are directed to providing selective import of data to a hosted service through a security and compliance system associated with the hosted service to reduce overall liability and compliance risk exposure. Data, usage pattern and security/compliance policies associated with a tenant of the hosted service may be analyzed. A model for importing tenant data may be created based on the analysis. A suggestion may be presented to the tenant based on the model, where the suggestion includes a filter for importing tenant data. In response to receiving a confirmation to implement the suggestion, the filter may be applied to the tenant data as it is imported to the hosted service.
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公开(公告)号：US20200159959A1
公开(公告)日：2020-05-21
申请号：US16752979
申请日：2020-01-27
发明人： Karissa C. LARSON , Churli SU , Wenjie LIANG , Binyan CHEN , Ben APPLEBY , Anupama JANARDHAN , Ning XU
摘要： Hosted services provided by service provider tenants to their users are an increasingly common software usage model. The usage of such services and handling of data may be subject to regulatory, legal, and industry-based rules, where different rules may be applicable depending on the particular service, handled data, and organization type, for example. Embodiments are directed to providing intelligence and analysis driven security and compliance suggestions for hosted services to reduce the burden on tenant administrators to determine and implement applicable policies and rules. Claims are directed to determination of a suggestion based on an analysis of a tenant's service environment, presentation of the suggestion along with analysis results and a prompt to confirm implementation of the suggestion, and upon receiving confirmation, presentation of an option to customize the suggestion by modifying settings suggested based on analysis results. The suggestion may be a policy, organization, policy customization, or organization customization.
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公开(公告)号：US20180349487A1
公开(公告)日：2018-12-06
申请号：US15610561
申请日：2017-05-31
发明人： Nakul GARG , Kannan DHANASEKARAN , Lin HUANG , Sanjay RAMASWAMY , Churli SU , Mu JIANG , Ning XU , Liming CHEN , Mingquan XUE , Binfeng YUAN , Subhayan Sen
CPC分类号： G06F17/30002 , G06F17/3007 , G06Q10/10
摘要： A file disposition review system analyzes multiple productivity platforms to generate an upcoming disposition report identifying data files that have reached a disposition review age associated with a file management label. A cross-platform manual review (CPMR) portal enables concurrent examination of file property data for data files identified in the upcoming disposition report. The CPMR portal further enables the disposition manager to simultaneously examine file property data corresponding to the data files identified in the upcoming disposition report and to issue disposition instructions. Exemplary disposition instructions may cause the multiple productivity platforms to permanently delete the identified data files without their underlying file content ever being transferred and/or copied from the particular productivity platforms that individual ones of the identified data files correspond to.
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公开(公告)号：US20180357226A1
公开(公告)日：2018-12-13
申请号：US15618472
申请日：2017-06-09
CPC分类号： G06F17/303 , G06F17/30294 , G06F17/30867 , G06N3/006 , G06N99/005 , H04L63/20
摘要： When tenants migrate data from on-premises archiving solutions to a hosted service, tenants should maintain just enough data for compliance purposes and dispose of data that is no longer needed to reduce overall liability and compliance risk exposure. Embodiments are directed to providing selective import of data to a hosted service through a security and compliance system associated with the hosted service to reduce overall liability and compliance risk exposure. Data, usage pattern and security compliance policies associated with a tenant of the hosted service may be analyzed. A model for importing tenant data may be created based on the analysis. A suggestion may be presented to the tenant based on the model, where the suggestion includes a filter for importing tenant data. In response to receiving a confirmation to implement the suggestion, the filter may be applied to the tenant data as it is imported to the hosted service.
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