Data management method and device, electronic equipment and storage medium

Abstract

The invention discloses a data management method and device, electronic equipment and a storage medium. The method comprises: receiving a data access request sent by a user side, querying an access database based on the data access request to determine to-be-returned data, and determining a first security policy implemented to the to-be-returned data; determining an access label of the to-be-returned data and an access standard security policy corresponding to the access label according to the field information of the to-be-returned data; determining whether the first security policy is consistent with an access standard security policy; and when the first security policy is inconsistent with the access standard security policy, blocking the current data access, and recording the current abnormal access. According to the embodiment of the invention, the access label of the data is automatically identified by utilizing the enterprise classification and grading rule, the standard security policy required to be implemented by the to-be-returned data is determined by utilizing the access label, and whether the security policy of the to-be-returned data is completely implemented or not is determined according to the standard security policy, so that the security of the data access is ensured, and the integrity of the database is reserved.

Description

technical field [0001] Embodiments of the present invention relate to computer technology, and in particular, to a data management method, device, electronic equipment, and storage medium. Background technique [0002] With the rapid development of network information, big data information spreads rapidly on the network, penetrates into people's production and life, and has a huge impact on all aspects of people's life. However, big data information brings together more and more corporate confidential information and personal privacy information. If all data is differentially or anonymously processed, it cannot be accurately protected according to data classification and classification, and corporate data leakage and personal privacy information will occur. Information security risks. The sorting of classification and grading in the existing technology generally adopts expert experience and artificial intelligence, and uses an integrated technology system to complete data s...

AI Technical Summary

Problems solved by technology

However, big data information brings together more and more confidential corporate information and personal privacy information. If all data is differentially or anonymously processed, it cannot be accurately protected according to data classification and classification, and corporate data leakage and personal privacy information will occur. Hidden dangers of information insecurity

The sorting of classification and classification in the existing technology generally adopts expert experience and artificial intelligence, etc., and the system of integrated technology is used to complete data sorting, classification and classification, and data security policy implementation, but it cannot be provided to the interconnected industry data and digitization of the open architecture. Enterprise data security

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