Sensitive data can be defined as classified data that must be protected by various cyber security measures and cannot be accessed by unauthorized persons and third parties without privileged access authorization. Preserving sensitive data stacks in the electronic or physical environment does not change the data quality. In both cases, the sensitive data in question must be carefully protected against cyber threats.
It is very important that sensitive data access, which is one of the main issues to be considered while establishing data security, is provided through a cyber security network that will allow access only to privileged accounts in order to prevent cases of data breaches. On the other hand, you should not forget that an advanced structure that controls access to sensitive data may experience problems due to ethical or legal reasons. For this reason, it is of great importance for organizations to control persons and applications with personal data access more strictly in the legal context, in terms of Personal Data Protection ACT and GDPR compliance.
There are different types of sensitive data with various security levels. There are primarily four types of sensitive data and there are three different levels of data sensitivity. Let's first have a look at different types of sensitive data, before proceeding to data sensitivity levels.
GDPR means highly sensitive personal data. Sensitive personal data refer to data that are more sensitive in respect of GDPR such as name, IP address, location etc. GDPR insists that pseudonymous information should be used instead of information that directly identifies a person. However, the use of pseudonymous data may not prevent the breach of sensitive personal data. Because sensitive personal data, including genetic and biometric data, can be traced back to their origins and decrypted due to their identifying nature. Therefore, using pseudonymous data alone may not be sufficient. Creating an IT infrastructure that offers end-to-end data and access security stands out as the most logical method.
According to GDPR and the Personal Data Protection Law for Turkey, exclusive personal data i.e. sensitive personal data, incorporate many different components:
are included in the category of exclusive personal data under GDPR and the Personal Data Protection Law.
Several different industries have agreed on a specific standard for measuring data sensitivity. The standard in question coalesces around three main elements, also called the CIA trio. The CIA triad includes the principles of confidentiality, integrity and usability.
Privileged Access Management practices are one of the best ways to protect sensitive data as they create an advanced cybersecurity network. Privileged Access Management (PAM) systems enable you to have advanced data security in your IT infrastructure by protecting sensitive data, and privileged accounts with access to these accounts. PAM applications, which provide access security against ransomware attack, phishing, malware-like cyber attacks and internal threats, help prevent data breaches and keep your sensitive data safe.
Our PAM solution, Single Connect, provides advanced IT infrastructure security thanks to the modules it contains. Restricting access to privileged accounts in your network with a zero trust policy, Single Connect also makes it possible to keep the passwords in the system in password safes isolated from the network. Single Connect, which also has two-factor authentication, simultaneously requests location and time information from users who request access to privileged accounts. Single Connect also automates routine tasks on the network and records all user activity in the system, including database administrators.
As one of the internationally important PAM products, Single Connect can meet the data security needs of companies of different sizes and protect their sensitive data. You can also contact us to learn more about our Single Connect product and consult our teammates with any queries.