Why is data governance important in terms of data security?

In an exclusive interview with Wise TV, Ayşim Niksarlı, Director of Cybersecurity Consulting Services at Forcerta, offers a fresh perspective on the concept of data security. In this comprehensive discussion, she explores the importance of data governance, strategies for data classification, and the security measures that should be implemented based on these classifications.

“When we talk about data security, we often jump straight to the question of how to keep data secure; however, I believe we need to take a step back. In reality, we must begin with data governance. Treating all data with the same level of sensitivity is not an optimal strategy—neither in terms of efficiency and effectiveness nor in the prudent allocation of resources. Therefore, our first step should be to conduct a broad classification of our data. We need to define what we mean by ‘sensitive’ or ‘critical’ data, categorizing it based on three key dimensions: accessibility, confidentiality, and integrity. For each data category, we must assign a ‘data owner’—someone responsible for defining these classifications—and ensure that all subsequent security controls are determined according to these established criteria. For instance, if data requires high accessibility, we design infrastructure architectures that incorporate redundancy. If confidentiality is paramount, we implement security measures across every layer—including network, application, and physical security. Similarly, if data integrity is the priority, we employ specific controls such as encryption and secure protocols to ensure that the data remains unaltered. In short, we can develop tailored strategies by applying the appropriate controls based on these specific classifications.” Therefore, I believe that before discussing data security, data governance is of paramount importance. It is essential to establish an organization-wide perspective, communicate general rules—such as how to handle different types of data—across the entire organization, and implement corresponding measures to sustain these practices. When we undertake such an initiative—defining data ownership and classifying our data—we automatically satisfy certain requirements imposed by regulations. Furthermore, we can apply controls to our classified data that are appropriate to their specific classification level, ensuring full regulatory compliance.

Introduction to Data Security: Governance and Classification

In today’s digital world, data security has become more critical than ever. However, the first step toward ensuring data security is not focusing on how to protect the data, but rather establishing data governance. Data governance encompasses the process of classifying data and implementing security measures tailored to those classifications. Treating all data with the same level of sensitivity can hinder the efficient and effective use of resources. Therefore, it is necessary to classify data based on dimensions such as accessibility, confidentiality, and integrity. This classification should be performed by the data owners, and security controls must be determined accordingly.

The Importance of Data Classification

Data classification defines the categories into which data is organized—for instance, distinguishing between sensitive, critical, and general data. This classification determines the specific protective measures required; while sensitive data demands more rigorous security controls, more flexible measures may suffice for general data.

Data Ownership and Governance

Data ownership establishes who is responsible for managing and protecting specific data. A data owner—whether an individual or a team—should be assigned to each data type, assuming responsibility for its classification and protection. Data ownership facilitates effective governance and ensures that security controls are implemented efficiently.

Accessibility, Confidentiality, and Integrity

Data classification should be based on dimensions such as accessibility, confidentiality, and integrity. Data requiring high accessibility should be protected through redundant systems to ensure continuous availability. For highly sensitive data, layered security measures must be implemented, and data confidentiality must be maintained at every stage. To ensure data integrity—guaranteeing that data remains unaltered—encryption and encrypted protocols should be employed.

Implementation of Security Controls

Security controls, determined based on data classification, must be implemented to protect data. These controls may span various layers, including network security, application security, and physical security. By applying appropriate security measures for each data type, the integrity and confidentiality of the data can be ensured.

Regulatory Compliance

Data classification and security controls also facilitate regulatory compliance. Classifying data helps to automatically meet the security requirements mandated by regulations. Consequently, organizations can both adhere to legal obligations and effectively protect their data.

Conclusion: The Role of Governance in Data Security

Data security cannot be achieved solely through technical measures; data governance forms the foundation of security. Classifying data, establishing ownership, and implementing appropriate security controls ensure that data is protected effectively. This process also simplifies regulatory compliance. To secure their data, organizations should prioritize data governance and develop strategies accordingly. This approach enhances efficiency and ensures the effective use of resources.