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    • 1. 发明授权
    • Methods and systems for normalizing data loss prevention categorization information
    • 规范化数据丢失防范分类信息的方法和系统
    • US08060596B1
    • 2011-11-15
    • US12415329
    • 2009-03-31
    • Bruce WoottonRichard DandlikerAleksey TsibulyaOskar BrueningDirk Kessler
    • Bruce WoottonRichard DandlikerAleksey TsibulyaOskar BrueningDirk Kessler
    • G06F15/173G06F15/16G06F17/00H04L9/32
    • G06F21/6218
    • A computer-implemented method for normalizing data-loss-prevention categorization information, at least a portion of the method being performed by a computing system comprising at least one processor, may identify a data object at a first time. The method may apply a first version of a set of data-loss-prevention rules to the data object to determine a set of categorizations of the data object. The method may distinguish a set of content-based categorizations in the set of categorizations from a set of context-based categorizations in the set of categorizations. The method may apply, based on the set of categorizations, a first data-loss-prevention policy to the data object. The method may identify the data object at a second time, and apply, based on the set of content-based categorizations, a second data-loss-prevention policy to the data object. Various other methods, systems, and computer-readable media are also disclosed.
    • 一种用于对数据丢失防范分类信息进行归一化的计算机实现的方法,所述方法的至少一部分由包括至少一个处理器的计算系统执行,可以在第一时间识别数据对象。 该方法可以将一组数据丢失预防规则的第一版本应用于数据对象以确定数据对象的一组分类。 该方法可以将该组分类中的一组基于内容的分类与一组分类中的基于上下文的分类集合区分开。 该方法可以基于该集合分类应用针对数据对象的第一数据丢失预防策略。 该方法可以在第二时间识别数据对象,并且基于一组基于内容的分类将数据丢失预防策略应用于数据对象。 还公开了各种其它方法,系统和计算机可读介质。