In the rapidly digitalizing world, the value of data owned and produced by both companies and individuals is increasing. Many players are competing with each other in the race to obtain this valuable data. Especially in today’s data-based economy, more than legal regulations are needed to prevent data, which is seen as precious metals, from being used for malicious purposes. At this point, both individuals and institutions have important duties.
What is data security?
Data security is the name given to the entirety of protective measures taken to prevent unauthorized access to personal or corporate data in the digital environment. All measures taken to prevent cyber attacks such as deletion, modification, seizure or encrypting data with ransomware fall within the scope of data security. Data security applications also ensure that only authorized users can access corporate data.
Data security is a concept that covers every aspect of information security, from the physical security of network devices and storage devices to management and access controls. It also includes corporate policies and procedures.
What should be considered in data security?
Data security breaches can lead to heavy remediation costs as well as lost business. Regulatory authorities may also impose legal fines. In the worst case scenario, companies may even go bankrupt.
What are the mistakes made in data security?
The 5 most common mistakes companies make in data security can be listed as follows;
1- Focusing on privacy only periodically
2- Believing that data protection laws only apply where they are located
3- Thinking that complying with one regulation is equal to complying with all regulations
4- Not complying with their own privacy rules
5- Not providing effective and regular privacy training
Why is data security important for companies?
Corporate data is an extremely valuable digital asset that a company must protect, just like its physical assets. Insights obtained from corporate data enable the right decisions to be made about the future of the company. It also helps to find solutions to problems in business processes, increase operational efficiency and customer satisfaction, ensure the success of marketing efforts, reduce risks and, as a result, increase revenues and profitability.
Data security is key to protecting the confidentiality, integrity and availability of an organization’s data. Confidentiality refers to keeping data confidential, integrity refers to ensuring that data is complete and reliable, and availability refers to providing access only to authorized entities.
Beyond preventing breaches and complying with legal regulations, data security is also important for gaining customer trust, establishing good relationships and maintaining a reliable corporate image. It is also important for maintaining competitive advantage.
Encryption
Encryption is the process of converting plain text that can be read directly into unreadable text using an encryption algorithm. If encrypted data is compromised, it cannot be used for any purpose because it cannot be read or decrypted by anyone who does not have the relevant encryption key.
Data masking
Data masking involves hiding data so that it cannot be read. Masked data appears similar to the real data set but does not reveal any sensitive information. Masked data, which is obtained by changing the real data, preserves the properties of the data set and the referential integrity between systems. This ensures that the data is realistic, irreversible, and repeatable.
Data masking is useful when specific data is needed for software testing, user training, and data analysis, but it is not necessary for the sensitive data itself. Although the end result of encryption and masking is the same, they are actually very different methods.
Access control
One of the best ways to protect data is to control who can access it. If only authorized people can view, edit, and delete data, it is much more secure than having access to it open to everyone. Access control involves two main processes:
1. Authentication: The process of ensuring that users are who they say they are.
2. Authorization: The process of granting authenticated users access to data and resources.
Authentication and authorization are components of an Identity and Access Management (IAM) strategy. Other core IAM processes and techniques include multi-factor authentication, role-based access control, and privileged access management. It is also important to follow practices such as setting minimum password lengths, generating unique passwords, and requiring regular password changes.
Data Loss Prevention (DLP)
Data loss prevention is an essential part of an enterprise data security strategy. Data loss prevention tools monitor and analyze data for anomalies and policy violations. Most DLP tools integrate with other technologies, such as SIEM (Security Information and Event Management) systems, to create alerts and automated responses.
Data backup and resilience
Data backup involves keeping copies of files and databases in a second, third, and sometimes fourth location. If primary data is corrupted or stolen, a data backup can be used to restore the data to its previous state rather than completely losing it. Data backup is critical to disaster recovery plans.
Resilience is another strategy that is growing in popularity. An organization’s ability to adapt and recover from a cyberattack is an indicator of how resilient it is.
