Data classification policy is important for securing data from risks, which includes unauthorized users, modification, disclosure, access, use, and removal. This is to ensure protection on data assets from unauthorized users. Data must be maintained in a secure, accurate and reliable manner and be available for authorized use. In order to implement security measures, the data must be classified into categories like; confidential, restricted, and public. Confidential and restricted will be required some sort of access mechanism to authenticate anyone who wants to access any classified documents. In order to construct a Classification policy, one must know what type of data are available, where they are located, what type of access levels are implemented and what protection level is implemented and does it adhere to compliance regulations. The Classification are assigned to only specific people, for example a manager would have access to restricted information, as for an employee would not have that type of authorization. The employee would only have access to public information. It is important to have these types of data classification polices to prevent classified information from leaking. To ensure adequate quality standards, the classification process has to be monitored by an expert. The benefits of Data classification policy, is it can reduce costs and administration overhead. It helps business discover what data they hold, where it’s located, and who can have access to it and how long it must be retained, as well as what level of protection it should receive and what type of media it should be retained to meet legal and regulatory requirements. Data classification is something that should be well planned especially when working with large amounts of data and be able to discover them.
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