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Preventing Data Leakage using Artificial Intelligence and Neural Networks
Subject area: Science,Engineering and Technology · Area of research: Software Engineering
Abstract
As cybersecurity threats continue to escalate in a data-driven world, AI and neural networks offer a promising solution for preventing data leakage. Organisations across various sectors increasingly rely on data to drive innovation, make informed decisions, and remain competitive. However, this reliance also exposes them to the risk of data breaches or leakage, which can result in severe financial losses, legal ramifications, and long-term reputational damage.
References
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How to cite this paper
@article{1711174,
author = {Udokporo, Jamachi Leonard},
title = {Preventing Data Leakage using Artificial Intelligence and Neural Networks},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {4},
pages = {1143-1153},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711174.pdf},
abstract = {As cybersecurity threats continue to escalate in a data-driven world, AI and neural networks offer a promising solution for preventing data leakage. Organisations across various sectors increasingly rely on data to drive innovation, make informed decisions, and remain competitive. However, this reliance also exposes them to the risk of data breaches or leakage, which can result in severe financial losses, legal ramifications, and long-term reputational damage.},
month = {October},
}