Protecting data
Exam objective 3.3: Compare and contrast concepts and strategies to protect data.
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Data protection starts with knowing what data you have and how sensitive it is. This objective covers data types and classifications, the three data states, data sovereignty, and the methods used to protect data: encryption, hashing, masking, tokenization, obfuscation, segmentation, and permission restrictions.
Types and classifications
Data types include regulated data (health, payment, personal), trade secrets, intellectual property, legal and financial information, and human- versus non-human-readable data. A classification scheme labels data by sensitivity so handling rules follow the label.
| Label | Meaning |
|---|---|
| Public | Approved for anyone to see |
| Private / internal | For employees; minor harm if leaked |
| Sensitive / confidential | Serious harm if disclosed; limited access |
| Restricted | Highest commercial sensitivity; strict need-to-know |
| Critical | Essential to operations; loss is severe |
Data states and location
| State | Where | Main protections |
|---|---|---|
| At rest | Disks, databases, backups | Full-disk, database, and file encryption; access control |
| In transit | Moving across a network | TLS, IPsec, VPN |
| In use | In memory being processed | Secure enclaves, access control, masking on screen |
Data sovereignty means data is subject to the laws of the country where it's stored. Geolocation and geographic restrictions keep data in approved regions, which matters for laws such as GDPR.
Protection methods
- Encryption: unreadable without the key.
- Hashing: one-way digest for integrity checks.
- Masking: hide part of a value on screens or in test data.
- Tokenization: replace the value with a random token held in a vault.
- Obfuscation: make data or code hard to understand.
- Segmentation: store sensitive data in its own protected zone.
- Permission restrictions: limit who can read or change it.
Key terms
- Data at rest
- Data stored on disks, databases, or backups rather than moving or being processed.
- Data in transit
- Data moving across a network between systems.
- Data in use
- Data loaded in memory and being actively processed.
- Data sovereignty
- The principle that data is subject to the laws of the country where it is stored.
- Regulated data
- Information whose handling is governed by laws or industry rules, such as health or payment data.
- Intellectual property
- Creations of the mind, such as designs, code, and inventions, that an organization owns.
- Confidential classification
- A label for data whose disclosure would cause serious harm and must be tightly limited.
- Public classification
- A label for information approved for release to anyone.
- Data masking
- Hiding part of a sensitive value, such as showing only the last four digits.
- Geographic restrictions
- Controls that limit where data can be stored or accessed from by location.
- Obfuscation
- Making data or code difficult to understand without changing what it does.
- Permission restrictions
- Limiting who can read, change, or delete data based on need.
- Trade secret
- Confidential business information that gives a competitive advantage because it isn't publicly known.
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