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

EasyChair Preprint no. 9517

9 pagesDate: January 3, 2023


A strong and impregnable system is needed in the modern era of big data analytics and management to handle the problems of data integrity and security. Data is a company's most valuable asset, and if it is changed or removed, there is no way to properly know how, when, or by whom. This has a significant impact on the decisions that are made based on data and the analysis of accessible data. It is frequently claimed that data is essential to an organization's success and that "data is money." Because data has such a large impact, it is important to make sure it is preserved properly. This is true regardless of the industry a company operates in. As a result, data management involves both data integrity and data security concerns, which call for an integrated tool that can function in tandem and concurrently guarantee both the integrity and security of the data. The article makes an attempt to recommend artificial intelligence (AI) as a tool for improved and guaranteed data security and integrity while identifying the various areas that AI contributes to and addressing the gaps that need to be filled in order to overcome the difficulties of using AI tools with respect to data in general.

Keyphrases: Artificial Intelligence, Data Integrity, Security

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Lakshmi Priya Vinjamuri and Aghanaashaa Amal and Aditya Chahar},
  title = {Artificial Intelligence as a Tool for Enhanced Data Integrity and Data Security},
  howpublished = {EasyChair Preprint no. 9517},

  year = {EasyChair, 2023}}
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