The network is the cornerstone and important component of the development of the digital economy. Its rapid development has generated a lot of information and data. Data has also become an important asset in the digital economy era. Cybersecurity and data security also touch the hearts of enterprises and become important concerns.
To protect data security, companies need to build a data security management system. The following 6 stages of data management can help enterprises do a good job:
Data collection stage
This stage is divided into internal collection and external collection. Newly generated data in the internal collection system requires access control to the collection equipment to ensure data security. For external collection, it is necessary to clarify the data collection specifications, formulate data collection strategies, and improve data collection risk assessment and Ensure the compliance and legality of data collection.
Data transfer stage
It is necessary to control the data transmission interface, classify and grade the data, and use appropriate encryption algorithms to encrypt and transmit the data. The main ones used are symmetric encryption algorithms and asymmetric encryption algorithms.
Data storage stage
Establish a storage platform and formulate storage media standards and security protection standards for storage systems.
Data processing stage
Clarify the business scenarios for data desensitization and uniformly use appropriate desensitization technologies. Desensitization rules and methods should be unified according to different scenarios, and the necessity of providing real data and the use of desensitization technology should be evaluated. Desensitization technology is mainly divided into static desensitization and dynamic desensitization.
Data sharing stage
Establish an audit process and supervision platform for data exchange and sharing. At this stage, ensure that all operations and behaviors of data sharing are logged, and risk identification and control of high-risk behaviors are carried out.
Data destruction stage
The destruction of data must comply with the data destruction management system. The objects, reasons and processes for destruction need to be clear. Security audits must be conducted during the entire destruction process to ensure that the information cannot be restored and the effect must be verified. For physically destroyed media, registration, approval and handover must be carried out. General destruction methods include deleting files, formatting the hard drive, overwriting files, and degaussing. Finally, it is necessary to ensure that the data cannot be restored to prevent possible risks of data leakage.
While various industries integrate and utilize data and use the Internet as a carrier to transform service models, they should fully consider the security management of data. Through the continuous improvement of data security governance awareness, systems, and technology in terms of people, management, and protection products, we can achieve the effective integration of security, business, and data and achieve the expected results of data security governance.