What is Data Security and which are its Main Characteristics?

Hi friends. In this article, we will be discussing about Data Security and which are its main characteristics, within the context of Data Management.

 

What is Data Security?

Data Security, is a term in Data Management, that is used for characterizing the processes, policies and controls for preventing “unauthorized access” to your data thus keeping it secure and private, as well as, keep the data available in the event of a disaster.

To this end, among other, Data Security:

  • Contributes towards maintaining business continuity
  • Helps organizations to protect their reputation and build trust with their customers and partners
  • Ensures compliance with data protection laws, regulations and guidelines

 

What is “Unauthorized Access”?

The term “Unauthorized Access”, is used to describe the event, when someone gains access to a system, data, application, network, data center, etc., without explicit permission. This unfortunate event, is usually accompanied, by data breach attacks.

Some examples of data breaches are:

  • Cyber attacks
  • Phishing
  • Man-in-the-middle attacks
  • Ransomware
  • Etc.

 

Important Note: Data Security covers the entire lifecycle of data within an organization (creation/acquisition of data, their storage, processing and archiving/destruction).

Main Characteristics of Data Security

The main characteristics of Data Security, are:

  • Data Confidentiality
  • Data Integrity
  • Data Availability
  • Data Authenticity

Based on the above, we have created the below infographic:

Data Security Infographic on SQLNetHub

Let’s discuss more about these characteristics.

 

Data Confidentiality

Data confidentiality, is a term that is used for describing the processes and practices that ensure, that the data is only accessible by authorized persons, as defined by the Data Owner and consequently, by the organization’s business needs.

 

Data Integrity

Data integrity, is a term that is used for describing the processes and practices that ensure, that the data is reliable, complete and trustworthy. Data integrity, can be also characterized, as the process that ensures the overall quality of the data.

 

Data Availability

Data availability, is a term that is used for describing the processes and practices that ensure, that the data remains available and thus ensure business continuity, even in the event of:

  • Unauthorized access and data breaches
  • Data corruption
  • Disaster events

 

Data Authenticity

Last, data authenticity, is a term that is used for describing the processes and practices that ensure, that the data is not corrupted after being created.

Note that even though Data Authenticity is a similar concept to Data Integrity, their main difference is that Authenticity ensures that the data has not been altered by an unauthenticated person.

 

Data Security Examples

Below, we list some Data Security examples:

  • Data backups
  • Data masking
  • Encryption
  • High availability / Disaster recovery

 

Watch our video lecture on Data Security

 

Enroll to our course: Data Management for Beginners – Main Principles

Enroll to the course with a major discount and get started with learning the main Data Management principles!

Data Management for Beginners - Main Principles

Learn More

 

 

Featured Online Courses:

 

Read Also:

 

Subscribe to our newsletter and stay up to date!

Subscribe to our YouTube channel (SQLNetHub TV)

Easily generate snippets with Snippets Generator!

Secure your databases using DBA Security Advisor!

Generate dynamic T-SQL scripts with Dynamic SQL Generator!

Check our latest software releases!

Check our eBooks!

 

Rate this article: 1 Star2 Stars3 Stars4 Stars5 Stars (1 votes, average: 5.00 out of 5)

Loading...

Reference: SQLNetHub.com (https://www.sqlnethub.com)

© SQLNetHub