What Are the 4 Types of Data Classification? Explained by a Cybersecurity Expert

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You know what they say, knowledge is power. And when it comes to cybersecurity, knowledge can mean the difference between safety or being exposed to a digital threat. That’s why today, I’d like to share with you about the 4 types of data classification – something every individual and organization should be aware of to protect themselves from cyber attacks.

You might think, “Oh, but I’m not a big corporation, why would cyber criminals target me?” but the truth is that every single one of us has valuable information that can be exploited. Bank account details, login credentials, personal contacts – all of it can be used to commit fraud, launch phishing attacks, and more. But by understanding data classification, we can better protect ourselves and prevent cybercrime.

So hang on tight, because I’m about to give you a rundown on the 4 types of data classification that you need to know. Trust me, it’s worth it.

What are the 4 types of data classification?

Data classification is an essential aspect of any cybersecurity framework. It helps organizations to identify the sensitivity of their data and apply appropriate protection measures to keep it secure. There are four types of data classifications utilized by the University, and they include:

  • Controlled Unclassified Information: This classification is given to information that contains sensitive but unclassified information that would cause harm if accessed or disclosed to unauthorized persons. Examples of such data include proprietary research information and confidential business data.
  • Restricted: This classification applies to information that is deemed too sensitive for the general public and can only be made available to individuals who need to know for specific reasons. Examples include government secrets and confidential medical information.
  • Controlled: This classification applies to information that is not sensitive, but its release would not be in the organization’s best interest. Examples include business financials and personnel information.
  • Public: This classification is applied to information that is open to the public and contains no sensitive data. Examples include press releases and marketing materials.

    In conclusion, understanding the varying levels of data classifications is a critical part of cybersecurity. Proper data classification ensures that sensitive information is protected and only accessed by authorized personnel.


  • ???? Pro Tips:

    1. Know Your Data: It is crucial to understand the types of data handled in your organization and their sensitivity levels. Categorize them according to their importance, confidentiality, availability, and integrity.

    2. Apply Data Classification Policy: Develop a specific policy that outlines how to label, handle, store, and dispose of sensitive or restricted data. Everyone within the organization should be aware of this policy and adhere to it.

    3. Implement Access Controls: Restrict access to classified data only to authorized personnel and implement appropriate security controls like strong passwords, two-factor authentication, and encryption.

    4. Regular Review and Revision: Periodically review the data classification policy to ensure it is updated, relevant, and consider any new data handling requirements or regulations. Continually educate employees on the importance of data classification, handling, and availability.

    5. Incident Response Plan: In case of a data breach or incident, your organization should have a clear plan of action to respond promptly and minimize damage. The incident response plan should include specific steps to contain, assess, notify, and recover from the incident.

    Introduction

    Data classification is the process of categorizing data based on its level of sensitivity and the potential risk associated with its unauthorized access or disclosure. Data is classified into different levels to ensure appropriate handling measures are implemented, and access to data is restricted to authorized personnel only. The University utilizes four classifications of data: Controlled Unclassified Information, Restricted, Controlled, and Public. Each classification has its own set of requirements regarding data handling, storage, and access, depending on the level of risk associated with the data.

    Controlled Unclassified Information

    Controlled Unclassified Information (CUI) is data that requires safeguarding or dissemination controls under laws, regulations, or government-wide policies but is not classified under Executive Order (EO) 13526 or the Atomic Energy Act. CUI may contain sensitive and confidential information that, if improperly handled or disclosed, could cause harm to individuals, assets, or national security. Examples of CUI include Department of Defense (DoD) information, Export-Controlled data, and other sensitive information subject to legal or regulatory controls.

    Some of the requirements for handling CUI are:

    • Access to CUI should be provided only to authorized individuals with an established need-to-know.
    • CUI should be stored in secure locations and protected by physical and technical safeguards.
    • CUI should be transmitted only through secure channels and with proper encryption and security controls in place.

    Restricted Data

    Restricted Data (RD) is a classification of data used to identify information regarding the design, manufacture, or utilization of nuclear weapons. The RD classification is used to ensure that information vital to national security is protected from unauthorized disclosure. The National Nuclear Security Administration (NNSA) oversees RD and has implemented strict controls on its handling and storage.

    Some of the requirements for handling RD are:

    • Access to RD should be provided only to authorized individuals with an established need-to-know and appropriate clearances.
    • RD should be stored in secure locations and protected by physical and technical safeguards.
    • RD should be transmitted only through authorized channels and with proper encryption and security controls in place.

    Controlled Data

    Controlled Data (CD) is data that has been determined to require protection against unauthorized disclosure, but does not meet the criteria for CUI or RD classification. CD may contain sensitive or confidential information, such as student records, financial data, or proprietary information. CD classification is typically determined by the data owner or custodian.

    Some of the requirements for handling CD are:

    • Access to CD should be provided only to authorized individuals with an established need-to-know.
    • CD should be stored in secure locations and protected by physical and technical safeguards.
    • CD should be transmitted only through secure channels and with proper encryption and security controls in place.

    Public Data

    Public Data is data that has been determined to have no sensitive information and can be freely disclosed without restriction. Public data includes information such as press releases, public directories, and general information about the University. Public data may be accessed and disseminated without any special requirements or restrictions.

    Importance of Data Classification

    Data classification is essential for protecting sensitive data and ensuring that it is handled appropriately. By categorizing data into different classifications, organizations can develop policies and procedures for handling data based on the level of risk associated with it. This ensures that sensitive data is only accessible by authorized individuals with a need-to-know, and that data is stored and transmitted in a secure manner.

    Data classification also helps organizations comply with legal and regulatory requirements for safeguarding certain types of data. By identifying and classifying sensitive data, organizations can ensure that they are meeting all necessary legal and regulatory obligations regarding data protection and security.

    Conclusion

    In conclusion, data classification is a critical process for protecting sensitive data and ensuring that it is handled, stored, and transmitted appropriately. By utilizing classifications such as CUI, RD, CD, and Public, organizations can ensure that they are meeting all necessary regulatory requirements and protecting sensitive information from unauthorized access or disclosure. Data classification should be a part of every organization’s data security strategy, with policies and procedures in place for each classification to ensure that data is being handled in a secure and appropriate manner.