Artificial Intelligence as a Tool for Enhanced Data Integrity and Data Security

Vinjamuri Lakshmi Priya, A. A, Aditya Chahar, A. A.
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Abstract

The present era of "big data analytics and management" requires a robust and impenetrable system to deal with the issues of data integrity and security. If data is altered or deleted without sufficient audit trails, a corporation loses its most valuable asset. This has major repercussions on the use of available data and the conclusions drawn from such use. It is commonly said that "data is money" and that such information is crucial to the success of any business. For this reason, it is crucial to ensure that data is stored safely and securely. This is true no matter what sector a firm resides in.Hence, data management requires a solution that can guarantee simultaneously the security and integrity of data, as both are administratively intertwined for enforcement.The present article is an attempt at identifying the various sectors in general where in the tools of Artificial intelligence AI, contributes towards an effective data integrity and security as also on the lacunae and missing aspects that have to be addressed to overcome the hindrances in the use of AI tools.
人工智能作为增强数据完整性和数据安全性的工具
当前的“大数据分析和管理”时代需要一个强大而坚不可摧的系统来处理数据完整性和安全性问题。如果在没有充分审计跟踪的情况下更改或删除数据,公司将失去其最宝贵的资产。这对现有数据的使用和从这种使用中得出的结论产生了重大影响。人们常说“数据就是金钱”,这些信息对任何企业的成功都至关重要。因此,确保数据安全可靠地存储是至关重要的。无论一家公司处于哪个行业,都是如此。因此,数据管理需要一种能够同时保证数据安全性和完整性的解决方案,因为这两者在执行时在管理上是相互交织的。本文试图确定人工智能工具中的各个部门,这些部门有助于有效的数据完整性和安全性,以及必须解决的空白和缺失方面,以克服使用人工智能工具的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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