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Data security governance refers to the process of managing and protecting sensitive information in an organization. It involves the establishment of policies, procedures, and standards that ensure the confidentiality, integrity, and availability of data.
Effective data security governance requires collaboration between various stakeholders, including executives, IT professionals, legal and regulatory experts, and business users. By establishing a strong data security governance framework, organizations can reduce the risk of data breaches, protect their reputation and assets, and comply with legal and regulatory requirements.
Examples of data security governance
Here are some relevant examples of data security governance:
Multi-factor authentication (MFA): MFA is a security control that requires users to provide multiple forms of authentication to access a system or application. For example, a user might be required to enter a password and provide a fingerprint or a one-time code generated by a mobile app. MFA is an example of data security governance in action because it helps protect sensitive data by ensuring that only authorized users can access it.
Data encryption:Encryption is the process of encoding data so that it can only be accessed by authorized users with a decryption key. Many organizations use encryption to protect sensitive data both in transit and at rest. For example, data may be encrypted when it is transmitted over a network, or it may be encrypted when it is stored on a hard drive or in the cloud. Encryption is an example of data security governance because it is a control that helps protect data from unauthorized access.
Data classification:Data classification is the process of categorizing data based on its sensitivity and criticality. For example, some data may be classified as public, while other data may be classified as confidential or highly sensitive. Data classification is an example of data security governance because it helps organizations understand which data is most valuable and needs the strongest protection.
Access controls:Access controls are security measures that limit who can access certain systems, applications, or data. For example, an organization may use role-based access controls to ensure that only employees with a specific job function can access certain data or systems. Access controls are an example of data security governance because they help ensure that only authorized users can access sensitive data.
These are just a few examples of data security governance in action. Organizations must implement a range of controls and procedures to protect sensitive data, and data security governance is an essential part of this process.
Data governance and data security governance are related concepts, but they focus on different aspects of managing data.
Data governance refers to the overall management of data within an organization. It involves establishing policies, processes, and standards for how data is collected, stored, analyzed, and shared. The goal of data governance is to ensure that data is accurate, reliable, and used effectively to support business objectives.
Data security governance, on the other hand, is focused specifically on protecting data from unauthorized access, use, disclosure, modification, or destruction. It involves establishing controls and procedures to ensure that sensitive data is secure, including encryption, access controls, monitoring, and incident response.
While data governance is concerned with the overall management of data, data security governance is a subset of data governance that is focused on protecting sensitive data from security threats.