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Storage Limitation Principle

Introduction to the Storage Limitation Principle:

The storage limitation principle is a fundamental principle of data privacy that sets boundaries on the amount of time personal data can be stored by organizations. It is one of the seven data protection principles that form the core of the EU General Data Protection Regulation (GDPR). The principle states that personal data should be kept in a form that permits identification of data subjects for no longer than is necessary for the purposes for which the personal data is processed. 

The storage limitation principle is important because it protects individuals from having their personal data stored indefinitely, where it can be accessed, used, or even misused by unauthorized parties. For example, if a company collects personal data for a specific purpose, such as processing a customer order, they must not keep that data longer than necessary. Once the purpose has been fulfilled, the data must be deleted or anonymized to ensure that it cannot be used to identify the data subject. 

The storage limitation principle applies to all types of personal data, including sensitive personal data, such as health records, criminal records, and financial data. Organizations must ensure that personal data is not kept longer than necessary and have clear policies and procedures in place for deleting or anonymizing personal data once it is no longer required.  

Why the Storage Limitation Principle is Important for Data Privacy?

There are several reasons why the storage limitation principle is important in protecting personal data. Firstly, it ensures that personal data is not retained unnecessarily, reducing the risk of being lost or stolen. Secondly, it reduces the risk of data subjects being targeted by cybercriminals who may attempt to steal their personal information.

Thirdly, it helps organizations to comply with data protection regulations, such as GDPR, which can lead to legal consequences if breached. 

Examples of the Storage Limitation Principle in Action:

An example of the storage limitation principle in action can be seen in the healthcare industry. Healthcare providers must keep medical records for a certain period, typically 7-10 years, after which they must be securely destroyed. This ensures that medical records are not kept indefinitely, where they could be accessed, used or misused by unauthorized parties. Similarly, banks must keep financial records for a certain period, typically 7 years, after which they must be securely destroyed. 

In the digital age, ensuring that personal data is not stored indefinitely in electronic form is becoming increasingly important for example, social media platforms and online retailers may store personal data such as email addresses, phone numbers, and credit card details. In such cases, it is important that the data is deleted or anonymized once it is no longer required. 

Conclusion: 

In conclusion, the storage limitation principle is an important principle of data privacy that sets boundaries on the amount of time personal data can be stored by organizations. It ensures that personal data is not retained unnecessarily, reduces the risk of data breaches, and helps organizations to comply with data protection regulations.

By implementing policies and procedures to ensure that personal data is deleted or anonymized once it is no longer required, organizations can demonstrate their commitment to protecting the privacy and security of personal data.

Major Privacy Updates of the Week

Upcoming US Senate Bill to set age minimum for access to social media:

Children’s access to social media is expected to be regulated by the introduction of legislation by a bipartisan group of U.S. Senators. 

The bill would prohibit children who are under the age of 13 from accessing social media, and children aged between 13-17 are expected to be allowed with the consent of their parents. How the verification of the children’s age remains unclear. 

Read more.

Ukrainian cyber police arrested a man for selling data to Russian buyers:

A 36-year-old man was arrested by the Ukrainian cyber police for selling the data of Ukrainian and EU citizens. 

The police stated the stolen data were sold based on the volume. Information like passport details, taxpayer numbers, birth certificates, and bank account data was contained in the databases that were discovered by the officers. 

Read more.

Data Protection inquiry over ChatGPT launched by Germany:

The data privacy concerns over ChatGPT resulted in the launching of the inquiry by Germany.

The authorities of Germany wanted to verify whether OpenAI and the EU law inform the people whose data has been used by ChatGPT, it also demands an answer from the US maker OpenAI. 

Read more.

Double Supply chain attack – 3CX compromised:

The Cybersecurity firm Mandiant has reported that the breach of 3CX was caused by an earlier futures trading platform Trading Technologies. This is known to be the supply chain attack caused by another supply chain attack.

However, the source of the breach was said to be caused due to an employee downloading a piece of outdated trading software. 

Read more.

IMF paper states the absence of data protection law in India possess a privacy risk:

As per the reports stated in the IMF paper, there were 80 million Indian users were affected by the data breach incidents in 2021.

According to IMF, the absence of comprehensive data protection legislation is still missing in India where the privacy and the digital rights of users are at risk. 

Read more

Curated by: Prajwala D Dinesh, Ritwik Tiwari, Ayush Sahay

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