In information security and knowledge management, information is usually classified by sensitivity and how much protection it needs.

Common classification levels

Most organizations use a tiered model such as:

  • Public: Information that can be freely shared without risk (e.g., published marketing material, public website text).
  • Internal/Business use: Non-public but not highly sensitive, intended only for employees or trusted partners (e.g., internal memos, basic process docs).
  • Confidential: Sensitive information that could cause harm if disclosed, like customer data, financial plans, or non-public contracts.
  • Restricted/Regulated: Highly sensitive or regulated data such as health records, bank details, or government-classified material.

Steps to classify information

Organizations typically follow a simple process to classify information consistently.

  1. Identify the data
    • What is it about (people, finances, research, operations)?
 * Does it include personal or regulated elements like PII or health data?
  1. Assess risk and impact
    • Ask what happens if the data is disclosed, altered, or unavailable (using confidentiality, integrity, availability criteria).
 * Higher potential harm leads to a higher classification level.
  1. Apply a label and rules
    • Assign one of the defined levels (Public, Internal, Confidential, Restricted).
 * Tie each level to clear handling rules: access controls, encryption, sharing limits, retention, and monitoring.

Why classification matters

Classifying information helps organizations:

  • Protect sensitive data effectively with appropriate security controls like encryption and strict access.
  • Comply with laws and regulations for personal, financial, or research data.
  • Reduce mistakes by giving employees simple labels and examples so they can quickly choose the right protection level.

Automation and modern trends

Modern systems often use AI-assisted tools to scan content and suggest classifications based on patterns such as PII, PHI, or financial data.

  • This speeds up labeling and improves consistency, especially in large document repositories.
  • Human review is still used for edge cases where context and judgment are needed.

SEO-style meta note

For your phrase “in order to classify information the information,” the core idea aligns with standard “information classification” or “data classification” frameworks that group content into risk-based levels (public, internal, confidential, restricted) and then apply matching controls.

Information gathered from public forums or data available on the internet and portrayed here.