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Data Protection – Definition, Principles, Techniques, and More

What is Data Protection?

Data protection is the usual policy and procedure you can use to protect your data’s confidentiality, availability, and integrity. It is also sometimes referrer to as data protection.

A data protection strategy is essential for any organization that collects, processes, or stores sensitive data. A successful strategy can help avoid data loss, theft, or corruption and can help minimize losses in the event of a breach or disaster.

What are the Principles of Data Protection?

What are the Principles of Data Protection?

Data protection principles help to protect data and make it available under all circumstances. It includes operational data backup and business continuity/disaster recovery (BCDR) and includes implementing aspects of data management and availability.

Here are the critical aspects of data management relevant to data security:

Data Availability – Ensuring that users can access and use data essential to the business, even if that data is lost or damage.

Data Lifecycle Management – This includes automatically moving critical data to offline and online storage.
Information Lifecycle Management – This includes evaluating, indexing and protecting information resources from various sources, including crashes, utility failures, application and user errors, device failures, malware attacks, and viruses.

12 Data Protection Techniques and Practices to Protect your Data

When it derives to safeguarding your data, you can choose from multiple storage and management options. The solution can help you limit access, monitor activity and respond to threats. These are some of the most used practices and techniques:

Access to Data:

The first step in data protection is to identify the databases in the organization that are critical to the business and contain sensitive data that may be subject to compliance regulations.

Data Loss Prevention (DLP):

Strategies and tools you can use to prevent data theft, loss, or accidental deletion. Data loss prevention solutions often include various means to prevent and recover from data loss.

Storage with Built-in Data Protection:

Modern storage devices offer disk consolidation and backup. For example, Cloudman’s Hyperstore offers up to 14x more durability, low-cost and efficient storage for large amounts of data, and the lowest available RTO/RPO. Learn more in our guide to secure data storage.

Backup – Makes copies of data and stores it separately, allowing data to be restore later if data is lost or changed. Backup is an important strategy to ensure business continuity when original data is lost, corrupted or damaged, either accidentally or maliciously. Learn more in our data acquisition guide.

Snapshot – A snapshot is similar to a backup, but a complete snapshot of the protected system, including system files and data. An image can be used to restore the entire system to a specific point in time.

Data Protection – Replication:

Technology continuously copies data from one secure system to another. It provides an automatically updated copy of the data, allowing recovery and immediate failure of the document in the event of a platform failure.

Firewall – A tool that allows you to monitor and filter network traffic. You can use a firewall to ensure that only authorized users can access or transmit data.

Authentication and Authorization:

Controls help verify identity and ensure user privileges are correctly applied. These measures are typically used as part of identity and access management (IAM) solutions and in conjunction with RBAC.

Encryption – changes the content of the data according to an algorithm that can only change with the correct password. Encryption protects your data from unauthorized access, even if the data is stolen and becomes unreadable. Learn more in our data privacy guide.

Endpoint Protection – Protects access to your network, including ports, routers, and connected devices. Endpoint monitoring software generally allows you to monitor your network traffic and filter the traffic if necessary.

Delete Data:

Limit liability by deleting data that is no longer need. It can be complete when the data is being processed and analyzed or from time to time when the information is not relevant. Many compliance laws, such as the General Data Protection Regulation (GDPR), require more data to be deleted. To learn more about GDPR, see our guide: GDPR Data Protection.

Disaster Recovery:

The practices and techniques define how an organization handles a disaster, such as a cyber attack, natural disaster, or major equipment failure. A disaster recovery process typically involves creating a remote disaster recovery site with copies of protected systems and changing how those systems function in the event of a disaster.

Six Basic Ways to Protect Data: Data Protection

If you regularly process personal data, data security is one of the most important things you can do for your business. If you haven’t already, data protection should also be an integral part of your process to ensure GDPR compliance.

Many GDPR terms and conditions boil down to one simple requirement: ensuring data security. If you can do that, you don’t have to worry about any other problems that may arise that will be much easier to solve. That is why we have decided to compile a list of the most widely used data protection techniques that will help you comply with the GDPR; Some of them are detail in the rules themselves.

1. Risk Assessment: Data Protection

The more dangerous the data, the more protection it needs. Sensitive data should be closely monitor, while low-risk data may receive less protection. The main reason for these ratings is cost-benefit, as better data security equals more expense. Nevertheless, it is an excellent test to determine which data should be protect more tightly and make the entire data processing system more efficient.

2. Backup: Data Protection

Backup is a way to prevent data loss which can often occur due to user error or technical failure. Backups should be made regularly and update. Regular backups will incur an additional cost to your business, but potential interruptions to your normal business operations will cost you more. Time is valuable!

3. Coding: Data Protection

High-risk data is the best candidate for encryption at all levels. It includes during acquisition (internet encryption protocol), processing (full memory encryption), and post storage (RSA or AES). Well-encrypted data is inherently secure; Even in the event of a data breach, the data will be useless and inaccessible to attackers.

4. Nicknames

Pseudonymization is another method allow in the GDPR to improve the security and privacy of personal data. It works well with significant data sets and includes removing identifying information from data snippets. For example, they replace people’s names with randomly generated strings, making it impossible to link an individual’s identity and the data they provide.

5. Access Control

Introducing access controls into your business workflow is a very effective way to reduce risk. The rarer people who have access to the data, the lower the risk of a data breach or (unintentional) data loss.

6. Destroy

There may come a time when the data in your possession must be destroy. Destroying data may not seem like a protection method at first glance, but it is. In this way, the data is protect from unauthorize access and retrieval. Under the General Data Protection Regulation (GDPR), you must delete data you no longer need, and sensitive data warrants more widespread destruction.


Data protection is the method of protecting critical data from damage, hacking or loss and providing the ability to restore data to a functional state if something makes the data inaccessible or unusable.

Data protection ensures that data is not corrupt, can only be access for authorized purposes, and complies with applicable legal or monitoring requirements. Protected data must be available when need and can be use for its intended purpose.

However, the possibility of data protection goes beyond data availability and utility to cover areas such as data persistence, security, and deletion/destruction.


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