# Data Labeling and Marking One-sentence definition: Visual and metadata indicators that communicate classification and handling instructions. ## Key Facts - Methods: headers/footers, watermarks, cover sheets, metadata tags. - Automated labeling via DLP/CASB and content classifiers. - Ensure labels persist across formats and transfers. - Exceptions need owner approval and logging. - Training: users must understand and apply labels consistently. - **Verify:** check official (ISC)² CBK and current exam outline. ## Exam Relevance - Identify missing labeling control in a scenario. **Mnemonic:** “If it’s sensitive, say so.” ## Mini Scenario Q: PDF export drops headers—risk and fix? A: Lost labels; enforce metadata-based labeling and watermarks. ## Revision Checklist - Name 3 labeling methods. - Explain automated labeling benefits. - State when exceptions are allowed. ## Related [[Data Classification Levels and Handling Rules]] · [[Data Loss Prevention (DLP)]] · [[Cloud Data Protection (SaaS, PaaS, IaaS)]] · [[Printing and Hardcopy Data Controls]] · [[Information and Asset Ownership]] · [[Domain 2 - Index]]