Over the past few years, concerns about data privacy and security have been growing steadily. Where is my data going to reside? Is my data stored in a secure place? Who can access my data? These are some serious questions asked by modern-day digital users. Meanwhile, enterprises that manage user data also want to comply with the most secure and private standards available in the market. Companies are aware that if they collect any type of user data, they also have to protect it.
Even though Data Security and Data Privacy are two separate concepts, they are often confused overtimes. Here is a brief explanation of both terms.
In data security, the goal is to protect the user data from unauthorized access, manipulation, or theft throughout the data lifecycle. Although the focus of data security techniques is primarily on securing user data, it also encompasses the infrastructural security of an organization. As it will be pointless to deploy un-hackable security solutions if the infrastructure containing such data is not secure enough. Some key data security types include:-
Data encryption uses a variety of algorithms that convert the data into unreadable formats. The result is that if a malicious user manages to bypass security and access user data, they will not be able to decrypt it back into readable form until they have the decryption keys, protecting the data from unauthorized disclosure.
Data erasure is a more advanced method of wiping data from secondary storage devices. The usual method of deleting data does not completely erase it, and the data can still be recovered. Data erasure techniques use various software solutions that remove all traces of user data, making it impossible for the data to be recovered.
The purpose of data masking is to modify the content of data in a way that will not be useful to an unauthorized user manages to access the data. In addition, data masking ensures that all users have consistent access to the data, thereby creating an alternate version. The technique is also known as Data Obfuscation.
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describes remains anonymous.
Data Resilience refers to an organization’s ability to ensure continuous availability of data through replication. The response time of an organization towards a data failure directly impacts the availability of the data for its users and customers. Near real-time replication and faster recovery time and recovery point objectives can reduce the impact of data unavailability.
Data security can be achieved with a variety of practices
and tools that an organization or individual can use. Some of the most important are:-
Data Privacy is concerned with the handling, storing, and processing of an individual’s personal or health information. In general, privacy is an individual right concerning the freedom from prying eyes and intrusions. A large part of data privacy is about access control, i.e., limiting who gets access to the data and who doesn’t. Data privacy also includes an organization’s policy to share user data with third parties. Some legal concerns about data privacy include but not limited to:-
The importance of data privacy boils down to the privacy laws and regulatory requirements in the jurisdictions in which an organization and its customers are based in addition to specific requirements that may be required by business partners.
Every business has to abide by the rules of the regulatory body in its area. Making sure your business policies are compliant with the regulatory body is even more important. Businesses should be cautious when collecting, storing, and processing user data as any unauthorized disclose of theft may result in hefty fines. Additionally, organizations should ensure that user data is properly secured and protected from unauthorized access and disclosure.
It is quite common to see data security and data privacy overlap. As an example, a user may encrypt data to improve privacy, but the same method can also be used for data security. At the same time, securing data doesn’t always imply that it is also secure from privacy violations. In other words, just because an organization guards data from malicious users does not mean it is also compliant with privacy regulations.
In order to distinguish between the two concepts , remember that data privacy controls focus more on making sure that the data is only available to authorized parties, whereas data security controls protect the data regardless.
Malicious attempts by hackers to steal user data have always been a major concern for the digital market. However, a growing number of digital enterprises have begun to violate users’ privacy rights. As a result, digital users have become increasingly concerned about both data security and privacy. Today, users are more cautious about giving their data over to multinational conglomerates.
IAs an enterprise, you should ensure that the policies and culture of your organization comply with the latest security standards, legal and regulatory requirements as well as respect the digital privacy of your users. Be transparent about your privacy policies and how you handle user data. This will not only increase your user base but will also increase your worth in the digital market. Schedule an appointment with IRM Consulting & Advisory.