Data Classification Examples to Help You Classify Your Sensitive Data

What is Data Classification? · Public data: This data is available to the public and doesn't need protection. · Private data: Internal data ...

What Is Data Classification? - Palo Alto Networks

Common classification levels include public, internal use, restricted, and confidential. Organizations then identify their data assets, both structured and ...

What is Data Classification? | Best Practices & Data Types - Imperva

For example, financial records, intellectual property, authentication data. Medium sensitivity data—intended for internal use only, but if compromised or ...

Data Classification Examples: Data Types and Policies - Satori Cyber

Common examples of private data include: personal contact information such as phone numbers, text from messaging applications like Slack or WhatsApp, employee ...

5 Types of Data Classification (With Examples) | Indeed.com

5 data classification types · 1. Public data · 2. Private data · 3. Internal data · 4. Confidential data · 5. Restricted data.

What Is Data Classification? - Definition, Levels & Examples

Data classification is the process of categorizing data assets based on their information sensitivity. By classifying data, organizations can determine two key ...

Examples of Sensitive Data by Classification Level - Safe Computing

Data Examples: Credit card numbers (PCI) · FISMA. Restricted Classification: Disclosure could cause severe harm to individuals and/ ...

5 Common Data Classification Types | Digital Guardian

Public data; Private data; Internal data; Confidential data; Restricted data. Public Data. Public data can be important but is accessible to the ...

Data Classification - Administrative Examples

Non-directory student information · Non-published faculty and staff information · Information protected under FERPA, in general · HUID tied to an individual ...

What is Classified as Sensitive Data? - Congruity360

Sensitive data falls into several classifications, but broadly refers to data that must be protected from unauthorized access to prevent harm to businesses and ...

Data Classification Levels | DryvIQ

Low sensitivity data: This is information that is meant for anyone to access and use. For example, your business' social media pages are filled with low ...

Data Classification (Data Management): A Complete Overview

To protect sensitive data, it must be located, classified according to its level of sensitivity, and accurately tagged. Then, enterprises must handle each group ...

Data Classification: Why It's Important and How To Do It

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

7 Types of Data Classification - Datamation

A subset of internal data, confidential data includes highly-sensitive information that needs stringent security measures. This data ...

Data Classification - Privacy & Cybersecurity

Sensitive data · Student Records (FERPA) · Employee personal information such as home address, email address, telephone · Information covered by a Non-Disclosure ...

What is Data Classification? - Immuta

Despite the complexity of handling sensitive data, the levels of data sensitivity are relatively straightforward – high, medium, and low. High Sensitivity Data ...

Data classification & sensitivity label taxonomy - Microsoft Learn

In its most basic form, data classification is a means of protecting your data from unauthorized disclosure, alteration, or destruction based on ...

Data Classification - Cybersecurity - University of Illinois System

In addition to creating more copies, transmitting restricted data creates the risk that it will be intercepted. Data classified as sensitive cannot be emailed ...

The Ultimate Guide to Data Classification | Fidelis Security

2. Medium Sensitivity Data: This data is meant for internal use and, while it needs protection, its exposure wouldn't be disastrous. Examples ...

Data Classification: Compliance, Concepts, and 4 Best Practices

For example, a name might be considered non-sensitive by itself but sensitive when alongside a medical record. Classifying data outside of the usage context can ...