===== Data Types =====

  * **Regulated**: Data governed by laws (e.g., GDPR, HIPAA) that mandates its protection.
    * **Example**: Personal health records or financial transactions.
  
  * **Trade Secret**: Proprietary information that provides a competitive edge; it’s not publicly known and is protected by law.
    * **Example**: Product formulas, business strategies.

  * **Intellectual Property**: Legally protected creations, including inventions, trademarks, and copyrights.
    * **Example**: Patented technology, software code.

  * **Legal Information**: Data related to legal proceedings, contracts, or compliance obligations.
    * **Example**: Court documents, legal memos.

  * **Financial Information**: Data about financial transactions or assets, often sensitive and regulated.
    * **Example**: Bank account details, financial statements.

  * **Human/Non-Human Readable**:
    * **Human-readable**: Easily understood by people (e.g., text).
    * **Non-human readable**: Requires machines to interpret (e.g., binary code, encrypted data).

  * **Secret and Classified**: Data that is protected due to national security or organizational importance, with access restricted by clearance levels.
    * **Example**: Military strategies, intelligence reports.

===== Data Classification =====

  * **Sensitive**: Data that, if disclosed, could harm individuals or organizations.
    * **Example**: Personal Identifiable Information (PII).

  * **Confidential**: Restricted data intended for internal use only, shared on a need-to-know basis.
    * **Example**: Employee records, contracts.

  * **Public**: Data intended for public consumption, with no restriction on access.
    * **Example**: Marketing materials, press releases.

  * **Restricted**: Highly controlled data with limited access to minimize risk.
    * **Example**: Internal reports with proprietary information.

  * **Private**: Personal data of individuals, often regulated to protect privacy.
    * **Example**: Social Security numbers, medical records.

  * **Critical**: Data essential to business or national security operations, requiring the highest protection.
    * **Example**: Infrastructure blueprints, disaster recovery plans.