Current Volume 9
Abstract
In today’s rapidly evolving digital era, cybersecurity has become a critical concern for organizations worldwide. With cyberattacks becoming more frequent and attackers using advanced techniques, the use of Artificial Intelligence in cybersecurity has become increasingly important. This paper examines how AI can strengthen security systems through advanced data processing, pattern identification, and predictive analysis. By applying AI-based solutions, organizations can improve their ability to detect threats quickly and respond more effectively to security incidents. In addition, machine learning models can continuously learn from new data, enabling them to adapt to emerging cyber risks and strengthen overall protection mechanisms. As businesses and institutions continue to depend heavily on digital technologies, the need for stronger and smarter cybersecurity measures is greater than ever. AI-driven security approaches not only help protect confidential information but also allow organizations to identify and address possible threats before they cause significant damage. In conclusion, the integration of Artificial Intelligence into cybersecurity frameworks offers a powerful and adaptive defense mechanism, ensuring stronger protection against the ever-changing landscape of cyber threats.
Keywords
NLP, ML, Deep Learning, Intrusion Detection System, Intrusion Prevention System, Big Data Analytics
Citations
IRE Journals:
Girase Pragati RajendraSingh, Rohit Kadbhane "Intelligent Cyber Defense: Securing the Digital World with AI" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1530-1534
IEEE:
Girase Pragati RajendraSingh, Rohit Kadbhane
"Intelligent Cyber Defense: Securing the Digital World with AI" Iconic Research And Engineering Journals, 9(11)
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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