Cybersecurity
Data Classification
Data classification is the process of categorizing an organization's data by sensitivity level and protection requirements. Classification enables applying appropriate security controls for different data types and is the foundation of information protection programs.
Data Classification Definition
Data classification is a systematic process of identifying, categorizing, and labeling organizational data based on sensitivity, business value, and regulatory requirements. Classification allows applying appropriate protection levels for each data category.
Why Is Classification Important?
- Proportionate protection: Not all data requires the same protection level
- Efficiency: Concentrating resources on most important data
- Compliance: Regulations require identifying sensitive data
- DLP: Classification is the foundation of Data Loss Prevention policies
- Incident response: Incident prioritization
Typical Classification Levels
Classic 4-level model:
| Level | Description | Examples |
|---|---|---|
| Public | Public data | Marketing, website |
| Internal | Employees only | Procedures, internal documents |
| Confidential | Restricted access | Financial data, HR |
| Restricted/Secret | Highest protection | Trade secrets, personal data |
Classification Methods
Manual:
- User marks documents
- Data owner assigns category
- Time-consuming, dependent on people
Automatic:
- DLP tools scan content
- Machine learning recognizes patterns
- Content inspection (PII, card numbers)
Hybrid:
- Automatic suggestions
- User confirms/corrects
- Best combination of both approaches
Classification Criteria
- Sensitivity: What damage if leaked?
- Regulations: GDPR, HIPAA, PCI DSS
- Business value: Impact on competitiveness
- Retention: How long to store
- Access: Who can have access
Classification and Regulations
GDPR:
- Standard personal data
- Special category personal data
- Processing requirements
PCI DSS:
- Cardholder data (CHD)
- Sensitive Authentication Data (SAD)
- Storage requirements
Implementing Classification
- Policy: Defining levels and criteria
- Inventory: Discovering where data is
- Classification: Assigning categories
- Labeling: Labels on data
- Controls: Technical safeguards per level
- Training: User education
- Audit: Regular verification
Classification Tools
- Microsoft Information Protection (MIP)
- Titus Classification
- Boldon James
- Digital Guardian
- Varonis Data Classification
Data classification is the foundation of information protection programs, without which effective organizational data security is impossible.