Understand the difference between data security and privacy

Understand the difference between data security and privacy

Data security and privacy are two concepts that go hand in hand. Many people confuse the concepts and think they are the same thing. However, while they have the common goal of protecting sensitive data, data security and privacy are not the same thing and have different approaches to achieving the goal they share. In today’s article, we will understand the differences between these two concepts and understand how we can keep data private and secure!

What is data security?

Data security professionals work with specific tools to deter cybercriminals and prevent them from accessing the network by obtaining sensitive information such as bank details, personal information, intellectual information, and more. In this area, permission systems, information classification, access management and user behavior analysis are used. The purpose of using all of these tools is to prevent hackers from accessing confidential data.

What is data privacy?

Privacy is the right of every individual to control the exposure and availability of his or her private information that characterizes him or her as a unique individual (full name, citizen card number, bank details, etc.). Privacy is essential to being able to live in society, as this concept is the basis of our freedom. Companies need to be very careful how they handle their customer and business partner data, as a company that sees your private information exposed may compromise its continuity.

What are the pillars of information security?

The 6 pillars of information security are:

  • Integrity: preserves original data in any environment;

  • Confidentiality: ensures the confidentiality of information, preventing unauthorized persons from being able to access private data;

  • Availability: allows access to information only to authorized persons;

  • Authenticity: ensures that the data is reliable, always informing the user about the data sources;

  • Non-retractability: ensures that the author cannot deny the authorship of the data;

  • Compliance: Ensures that everything will be done in accordance with current laws and processes.


Protect sensitive data with masking

Data masking aims at creating a structurally identical version of the data, but not the same as the original version. This technique creates a database with fictitious but realistic information that can be used for testing and training purposes. It is becoming increasingly important for companies to adopt such solutions as cyber attacks are becoming increasingly sophisticated, making them more unpredictable and lethal. And exposing sensitive business data can put the entire organization at risk. Datapeers offers a variety of sophisticated scrambling techniques to protect sensitive data, irreversibly replacing it with fictional but realistic data.


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