Policies based on classification of groups, teams, and sites

Abstract

Information technology use policies based on classification of groups, teams, and sites is provided. Example systems may enable information technology administrators to specify which policies may apply based on manual or automatic classification of groups, teams and sites. This may include the ability to specify associated membership, sharing, and access policies, data storage and sharing locations, retention policies for different types of content, and application of various information governance and protection options / requirements. Information technology administrators, who inherently understand the data and information management needs of organizations and members, may define a reasonable set of simplified classification options that information workers can use. Thus, information workers may no longer need to learn the details of data policies. They can simply select the proper data classification, and the security and compliance service may automatically configure the associated groups, teams, sites, and associated data.

Description

Background technique [0001] Information technology administrators need to maintain control of corporate data to prevent data misuse and breaches. Some of the challenges include increased velocity of business and the resulting large volumes of data being generated and consumed; increasing use of home offices, remote access, and personal devices; increased collaboration among workers, businesses, and other entities; and increased theft of intellectual property and increasing and broadening regulations on information governance and data retention, which may vary across regions. [0002] Information workers are required to handle organizational data in accordance with policies established by their organization, industry and / or regulatory bodies. They are responsible for preventing unauthorized access to sensitive data and knowing who should be authorized. User policy and technical training are often challenging and can be expensive. As a result, information workers may rely on ...

AI Technical Summary

Problems solved by technology

User policy and technical training are often challenging and can be expensive

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