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.
Citations
IRE Journals:
Udokporo, Jamachi Leonard "Preventing Data Leakage using Artificial Intelligence and Neural Networks" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 1143-1153
IEEE:
Udokporo, Jamachi Leonard
"Preventing Data Leakage using Artificial Intelligence and Neural Networks" Iconic Research And Engineering Journals, 9(4)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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