데이터 분류의 분류법 : 데이터가 모든 것

This IDC Market Perspective discusses the critical importance of data classification and protection in the context of digital transformation and AI advancements. It highlights IDC's data classification taxonomy, which categorizes data into public, internal, sensitive, and secret, emphasizing the need for appropriate security measures. The document underscores the challenges organizations face in protecting data due to increasing data volumes, cloud adoption, and complex security environments. It stresses the necessity of trust, data mapping, and robust security strategies to safeguard sensitive information and ensure compliance with privacy regulations."As the value of data increases, so does the need for modern protection methods. The use of virtual infrastructures, cloud adoption, and an increasingly mobile and subcontracted workforce make the elements of protection more complex with the increasingly distributed nature of corporate data and reduced visibility and control," says Ryan O'Leary, Esq., research director, Privacy and Legal Technology.

Executive Snapshot

New Market Developments and Dynamics

• How Much of Data Needs to Be Protected?
• Why Is It So Challenging to Protect Data?

Advice for the Technology Supplier and Services Provider

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• Related Research
• Synopsis