What is Data Classification? (2024)

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In the realm of Information Security, it is well understood that not all information is treated equally. Security is expensive and we must layer controls to ensure our most critical information is protected. This is where data classification comes in. It is widely publicized that Governments work with ‘Top Secret’ information, but what does that mean? Data Classification starts with labeling documents with various levels of confidentiality. These levels are aligned to names, and ultimately tied to how it will be used, transmitted and ultimately protected in and outside of the business.

Data Classification Levels

Data Classification in Government organizations commonly includes five levels: Top Secret, Secret, Confidential, Sensitive, and Unclassified. These can be adopted by commercial organizations, but, most often, we find four levels, Restricted, Confidential, Internal, Public. These four are far more straightforward, and their names align to how they should be handled.

  • Public: This information is public information, and can be openly shared on your website, discussed in public and with anyone. Public information as the name implies, is public, and does not require any additional controls when used.

  • Internal: Internal information is company-wide and should be protected with limited controls. Internal information may include the employee handbook, various policies and company-wide memos. If disclosed, Internal information has a minimal impact to the business.

  • Confidential: Confidential information is team-wide and its use should be contained within the business. This information may include pricing, marketing materials, or contact information. If disclosed, Confidential information could negatively affect your business and ultimately your brand.

  • Restricted: Restricted information is highly sensitive and its use should be limited on a need-to-know basis. Restricted information is typically protected with a Non-disclosure Agreement (NDA) to minimize legal risk. Restricted information includes trade secrets, potentially identifiable information (PII), cardholder data (credit cards), or health information. If disclosed, there would be a significant financial or legal impact to the business.

How do you Classify Information?

Having a Data Classification standard is the first step. Once one has been defined, how do you classify information? There are multiple ways to classify information and to simplify things, however, there are two primary methods.

The first involves treating all PII, PCI, PHIPA or trade secrets as restricted and attempting to build rules (i.e., regular expressions) in your systems to automatically tag using a technology. Credit cards are 16 digits and valid cards pass a mod 10 check. Technology is capable of finding credit cards and handling the information accordingly.

The second involves training your staff to understand the levels and label their documents based on their intended use. This is by far the most difficult, but once implemented, the most effective for the simple reason that technology has a hard time understanding data and the context.

The role of labelling data falls with the data owner. The data owner is the business lead or unit that is responsible for the data. Loyalty Data, for example, may be owned by the VP of Customer Loyalty. It is up to the data owner to assign the appropriate classification, and hand off the responsibility to the custodian. The custodian is the team member responsible for the safe custody, transport and storage of sensitive data. They are responsible for the application of security controls based on the sensitivity level.

Why Classify Information?

There are several reasons to classify data. To start, it makes sensitive information easy to spot. An email with a content policy tied to it (Office 365), and a subject line that starts with “RESTRICTED” is a very clear indicator that the recipient should be careful with the information. Security is expensive, and if we apply high-security controls to data that requires it, and lessen controls on information that is public, we can be more cost-effective.

Labelling your information not only makes it easier for employees to spot, but also makes it easier for technologies such as Data Loss Prevention (DLP) to do the same. Restricted information, as an example, can be watermarked to ensure it is not sent out of the business, printed, or stored in an insecure location.

Conclusion

In summary, data classification is a core fundamental component of any security program. It is the framework for how IT security is weaved into information security and ensures the protection of your business’s most sensitive information. Public information is intended to be used publicly and its disclosure is expected. Applying layers of your security controls as you move your way up to Restricted information is the best way to ensure cost-effectiveness. Sensitive information that’s labelled, is easier for your employees to spot, and understand how to handle it.

Contact us to learn more about data classification and how we can validate your restricted data is protected through an objective-based penetration test.

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    What is Data Classification? (2024)

    FAQs

    What is the answer to classification of data? ›

    What is the classification of data? Data classification is the practice of organizing and categorizing data elements according to pre-defined criteria. Classification makes data easier to locate and retrieve. Classifying data is instrumental in promoting risk management, security, and regulatory compliance.

    What is classification of data explain? ›

    Data classification is the process of analyzing structured or unstructured data and organizing it into categories based on file type, contents, and other metadata. Data classification helps organizations answer important questions about their data that inform how they mitigate risk and manage data governance policies.

    What best describes data classification? ›

    Data classification tags data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed.

    What is an example of data classification? ›

    Examples of Data Classification

    Data can be classified as Restricted, Private, or Public by an organization. In this case, public data is considered as the least sensitive data with the lowest safety requirements, whereas restricted data is the most sensitive data with the highest security classification.

    What are the 4 types of data classification? ›

    4 Data Classification Types

    Typically, there are four classifications for data: public, internal-only, confidential, and restricted. Let's look at examples for each of those.

    What are the 3 main types of data classification? ›

    Data classification generally includes three categories: Confidential, Internal, and Public data. Limiting your policy to a few simple types will make it easier to classify all of the information your organization holds so you can focus resources on protecting your most critical information.

    What is simple classification? ›

    When based on only one attribute, the given data is classified into two classes, which is known as Simple Classification. For example, when the population is divided into literate and illiterate, it is a simple classification.

    What is the definition of classification? ›

    What Does Classification Mean? Classification is the process of identifying and and grouping objects or ideas into predetermined categories. In data management, classification enables the separation and sorting of data according to set requirements for various business or personal objectives.

    What are two data classifications? ›

    All data can be divided into categorical and quantitative data. Data that are non-numeric or qualitative in nature, and that can be classified into different categories; are called Categorical Data.

    How to do data classification? ›

    6 Steps for Conducting a Data Classification:
    1. Perform a risk assessment for sensitive data.
    2. Establish a data classification policy.
    3. Categorize the types of data.
    4. Identify data locations.
    5. Identify and classify data.
    6. Use results to improve security and compliance.
    Feb 20, 2023

    How do you classify data in research? ›

    Guidance for classifying research data
    1. Step 1 – Review existing data classifications. ...
    2. Step 2 – Identify relevant data regulations. ...
    3. Step 3 – Get help from the experts. ...
    4. Step 4 – Manage your research data appropriately for its classification.

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