What is Data Classification?
Data classification is the process of categorizing data by sensitivity level, type, and regulatory applicability to determine appropriate protection measures and handling procedures.
Data classification organizes data into categories based on its sensitivity, regulatory requirements, and business value. A typical classification scheme includes sensitivity levels (public, internal, confidential, restricted) and data type categories (PII, PHI, financial, intellectual property).
Automated classification using AI and machine learning significantly outperforms manual classification in both accuracy and coverage. ClassifyIQ provides automated classification that categorizes discovered data by sensitivity level, applicable regulations, and processing purpose, driving appropriate protection measures through integration with ProtectIQ.
Relevant Regulations
How IQWorks Helps
Related Terms
Data Discovery
Data discovery is the automated process of identifying and cataloging personal data across an organization technology landscape, including databases, file systems, cloud storage, and SaaS applications.
Personally Identifiable Information (PII)
PII is any information that can be used to identify a specific individual, including names, addresses, email addresses, phone numbers, Social Security numbers, and biometric data.
Sensitive Personal Data
Sensitive personal data includes special categories such as health information, biometric data, racial or ethnic origin, religious beliefs, and sexual orientation that require enhanced protection.
Data Masking
Data masking replaces sensitive data with realistic but fictitious values, protecting privacy while maintaining data utility for testing, development, and analytics.