How to prepare for data anonymization in non-production environments

Data anonymization in non-production environments is becoming an increasingly important issue in the context of personal data protection and meeting regulatory requirements. The process not only prevents unauthorized access to sensitive data, but also protects the company’s image and minimizes the risk of breaches. Below, we present an overview of the key elements of data anonymization process to help you prepare your business for this challenge.

When and for what purpose should personal data be anonymised?

Traditional testing based on artificially generated data may not provide sufficiently consistent and reliable information about the tested solution, which is why increasing number of companies are choosing to use a copy of the real-world production environment. In such cases the testers must remember that such data may include also personal data of customers, prone to certain risks. When anonymized, however, the data is no longer at risk and can be used as test data.

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Study the test data generation methods on the examples of available tools

One of the key tasks during the test design stage is development of test cases based on the acceptance criteria defined in the documentation. In order to cover all developed cases in a correct way, we often need specific resources, including relevant test data.

Manual or automated generation of the test data?

Certainly, the main factor determining the easiest ways of obtaining the needed test data is the type of data we need. Simple data, such as a login or password, may be generated manually and it is a relatively simple method of providing the variables required for the application testing. In the cases when we need a lot of varied data, it may be generated automatically or fed from a database of readily available data sets.

Various types and characteristics of non-production environments

In today’s dynamic world of software technologies, both development and maintenance of the high-quality applications and systems is vital for business. To achieve this, it is necessary to provide various types of non-production environments to support the developers’, testers’ and other specialists’ work on the applications in secure and well-controlled conditions.

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How to prepare for data anonymization in non-production environments

How to prepare for data anonymization in non-production environments

Data anonymization in non-production environments is becoming an increasingly important issue in the context of personal data protection and meeting regulatory requirements. The process not only prevents unauthorized access to sensitive data, but also protects the company’s image and minimizes the risk of breaches. Below, we present an overview of the key elements of data anonymization process to help you prepare your business for this challenge.

read more
When and for what purpose should personal data be anonymised?

When and for what purpose should personal data be anonymised?

Traditional testing based on artificially generated data may not provide sufficiently consistent and reliable information about the tested solution, which is why increasing number of companies are choosing to use a copy of the real-world production environment. In such cases the testers must remember that such data may include also personal data of customers, prone to certain risks. When anonymized, however, the data is no longer at risk and can be used as test data.

read more
Manual or automated generation of the test data?

Manual or automated generation of the test data?

Certainly, the main factor determining the easiest ways of obtaining the needed test data is the type of data we need. Simple data, such as a login or password, may be generated manually and it is a relatively simple method of providing the variables required for the application testing. In the cases when we need a lot of varied data, it may be generated automatically or fed from a database of readily available data sets.

read more
Various types and characteristics of non-production environments

Various types and characteristics of non-production environments

In today’s dynamic world of software technologies, both development and maintenance of the high-quality applications and systems is vital for business. To achieve this, it is necessary to provide various types of non-production environments to support the developers’, testers’ and other specialists’ work on the applications in secure and well-controlled conditions.

read more
It’s all about the Data

It’s all about the Data

Today, nearly every IT project requires quality verification. But organisations cannot effectively evaluate IT solutions without having the test data available to do so. Creating such data manually can be quite tedious and is a time-consuming process.  What is Test...

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What is ITSM and how does it differ from ITIL?

What is ITSM and how does it differ from ITIL?

ITSM and ITIL are a pair of terms (or acronyms) that have been around for over a dozen years in the space related to broadly understood IT industry. Often the terms are used interchangeably as if there was an alternative involved. This is a total misconception you...

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