Review on Harnessing Artificial Intelligence: A Paradigm Shift in Cybersecurity for a Safer Digital Future

Artificial Intelligence (AI) is transforming cybersecurity by addressing the limitations of traditional reactive systems, which often fall short against advanced and unknown threats. By leveraging machine learning, neural networks, and predictive analytics, AI-driven cybersecurity systems provide proactive and adaptive solutions to modern challenges. These systems enhance threat detection accuracy, reduce response times, and efficiently manage large-scale, complex networks, making them indispensable across industries like finance, healthcare, and e-commerce. AI's ability to process vast amounts of data enables early identification of anomalies and prediction of potential risks, ensuring robust protection against evolving cyberattacks. However, challenges such as data privacy concerns, algorithmic biases, and the risk of AI misuse must be addressed. Ethical deployment and collaboration among governments, industries, and academia are critical to overcoming these obstacles. By fostering transparency and innovation, AI can become a cornerstone of global cybersecurity, paving the way for a safer, more resilient digital future.

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-10
DOI
https://doi.org/10.22214/ijraset.2024.65782
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
Controls
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article

Review on Harnessing Artificial Intelligence: A Paradigm Shift in Cybersecurity for a Safer Digital Future

1 citations
International Journal for Research in Applied Science and Engineering Technology
Network Security and Intrusion Detection
0.35
article

Review on Harnessing Artificial Intelligence: A Paradigm Shift in Cybersecurity for a Safer Digital Future

article en
1 citations

Abstract

Artificial Intelligence (AI) is transforming cybersecurity by addressing the limitations of traditional reactive systems, which often fall short against advanced and unknown threats. By leveraging machine learning, neural networks, and predictive analytics, AI-driven cybersecurity systems provide proactive and adaptive solutions to modern challenges. These systems enhance threat detection accuracy, reduce response times, and efficiently manage large-scale, complex networks, making them indispensable across industries like finance, healthcare, and e-commerce. AI's ability to process vast amounts of data enables early identification of anomalies and prediction of potential risks, ensuring robust protection against evolving cyberattacks. However, challenges such as data privacy concerns, algorithmic biases, and the risk of AI misuse must be addressed. Ethical deployment and collaboration among governments, industries, and academia are critical to overcoming these obstacles. By fostering transparency and innovation, AI can become a cornerstone of global cybersecurity, paving the way for a safer, more resilient digital future.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
Openalex Percentile: Top 36%
Network Security and Intrusion Detection
0.35
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