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In computer science, Identity Intelligence is the application, within the Identity Management field, of analytical techniques typical of business intelligence and other related tools for analysis and control. == Terminology == The term "Identity Intelligence" has been diffused throughout the course of 2010, also thanks to its adoption by Gartner, and refers mainly to the following set of capabilities: * the presence, within an organization, of a full repository of user accounts, able to effectively collect every information characterizing the users and their access rights. The difference is substantial if compared to the "standard" repositories used by the Identity Management solutions, typically simpler and less suited for complex analysis. * the ability to relate information from different target and authoritative sources, in order to correctly and efficiently populate the repository. In complex environments, data about users and user accounts are collected from dozens or hundreds of different sources, using different standards, different structures and different technologies. In order to allow quick, detailed and complete analysis, it is essential to have a tool that can collect, relate and homogenize all this data. * The ability to build complex analysis, based on the principles of business intelligence, providing valuable information in relation with: * * the state of the users within the organization, * * the quality of the user management processes. * * an overview of user identities and their access within the enterprise. * * an ability to relate identity information with various entities within the organization such as assets, resources etc. :At the same time, monitoring and reporting systems which operate on a complete repository, offer security features and advanced control. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Identity intelligence」の詳細全文を読む スポンサード リンク
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