According to Economist, “the most precious resource in the world is no longer oil, but data”. Therefore, protecting your most important asset, sensitive data, should be your first priority.
The fourth industrial revolution we are witnessing today has brought us into the digital age. With the expansion of the Internet, many technologies have developed in tandem. Information is now available at your fingertips. Everything is possible in terms of services. New businesses like e-commerce, digital marketing, software development, web design, etc. have taken center stage.
Additionally, several traditional industries such as healthcare and medical, automotive, component manufacturing, FMCG, etc., have integrated AI-based tools into their processes. This allowed them to increase their profits. However, everything related to the Internet relies on the processing of mass data.
The data comes from our phone activities and other things. As a result, we have recently seen an upsurge in data protection movements. People are uncomfortable with sharing sensitive personal data which could prove harmful in the future. In this article, we will talk more about sensitive personal data and how to secure it.
Examples of sensitive data
Data protection laws around the world have classified school records as sensitive personal data. This includes academic and extracurricular records from universities. Academic records returned to the employer (past and present) also fall under the definition of personal data.
In addition, all records of other global universities also fall under sensitive personal data. According to the relevant regulations, employers and universities are legally obliged to protect academic records by taking reasonable measures.
When we buy online, we provide a lot of personal data to merchants. This data includes date of birth, name, address, contact details and account details. Merchants are legally obligated to protect consumer data at all costs. Moreover, if the trader wants to share consumer data, he must obtain prior authorization.
Additionally, merchants must explain why they want to share consumer data with third parties. In the event of data manipulation, the merchant will be held responsible. However, merchant websites are not allowed to share certain extremely personal data such as card details, credit scores, etc.
How to protect sensitive data?
Before elaborating on the protective measures, it is essential to understand that not all data is sensitive data. For example, the level of security outside a public stadium versus the level of security in a bank are completely at different levels. This principle also applies to data protection. Therefore, above all, it is crucial to classify different types of data.
This will help to design different levels of security. Additionally, organizations will be able to focus all their resources on securing a small set of data, allowing them to create a robust structure.
We have already seen the examples of sensitive data; Now let’s look at the examples of non-sensitive data. Non-sensitive data includes public information that is readily available in the public domain, general business data, etc. This is the difference between structured and unstructured data.
Before getting into cybersecurity, you need to identify what sensitive data you have. Additionally, you should also be aware of the accessibility of this data within your organization. This will help you understand the movement of sensitive data from your organization to other parties.
By collecting this information, you will be able to understand the cyber risks and vulnerabilities involved. This way, you can establish a targeted data protection plan by limiting access and movement.