Data management and security go hand in hand. Learn how to ensure data privacy while promoting accessibility.
Digital transformation and the large volume of data generated and stored by organizations pose major challenges in terms of security and information protection. The complexity of computer systems creates an attack surface that is more difficult to monitor and protect.
Through the data management function, the mechanisms, activities and policies necessary to ensure data security in the organization's environment are developed . Why is it essential to implement a security and protection strategy for sensitive data and how is it executed?
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During the third quarter of 2022 , approximately 15 million architect database records were exposed worldwide through data breaches. This figure represents an increase of 37% compared to the previous quarter.
Source: Statista
What is data security?
Data security management involves planning, developing and implementing policies and procedures that ensure:
Authentication.
The authorization.
Access.
The data audit.
Data Security refers to the protection of data against accidental or intentional, but unauthorized, modification, destruction or disclosure through procedures such as physical security, administrative controls, logical controls and other security measures to limit access.
The main principle of data security is to provide protection to a user's data collections or sources. Data Security has come to the forefront with the new General Data Protection Regulations (GDPR) launched by the EU and the fines applied against data breaches.
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Data protection mechanisms
There are various procedures for protecting data circulating in organizations. Among the most widely used are:
Data encryption: Converts data into a code that cannot be easily read without a key to unlock it.
Data masking : transforms data so that personnel without the required authorization cannot view it and the protection of the information and its confidentiality is guaranteed.
Why data security is critical in data management
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