What is data classification?

Data classification is a process of labeling and organizing data based on its sensitivity and risk level. It involves assigning information into different categories based on its importance and how it should be handled. In New York, this data classification is regulated by data security laws. Data classification is important because it allows organizations to better protect their data. By classifying data, organizations can better understand what information needs more protection and what can be safely shared. This helps them create more effective strategies for data protection and security. Data classification in New York is based on the types of data, the purpose of its use, and the possible risk of an unauthorized disclosure. Generally, the four main categories of data classification are public, internal, confidential, and top-secret. Public data can be shared with anyone, while internal data can only be used and accessed by authorized personnel. Confidential data is only meant for authorized personnel, and top-secret data should only be seen by a small number of people. By properly classifying data, organizations can protect their information from potential outside threats. Data security laws in New York are designed to ensure that companies comply with data classification protocols and handle data in accordance with the regulations.

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