AI AND DEEP CYCLE PREDICTION: ENHANCING CYBERSECURITY WHILE SAFEGUARDING DATA PRIVACY AND INFORMATION INTEGRITY
Joseph Nnaemeka Chukwunweike, Praise Ayomide Ayodele, Osamuyi Obasuyi, Akinsuyi Oluwamayowa, Akinsuyi Samson · International Journal of Research Publication and Reviews · 2024
This article focuses on the intersection of artificial intelligence (AI), deep cycle prediction, and cybersecurity, highlighting how predictive analytics are reshaping the landscape of information protection.By leveraging AI and deep learning techniques, organizations can anticipate and mitigate cyber threats before they materialize.However, this predictive power comes with concerns about data privacy and the integrity of the information being protected.The article explores the balance between harnessing AI for enhanced security and ensuring that data privacy is not compromised, emphasizing the need for ethical guidelines and robust security frameworks.