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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Artificial Intelligence in Cybersecurity Threat Detection: Methods, Challenges, and Future Directions
Authors Name: B.MUTHUKKUMARAN
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IJRTI_205508
Published Paper Id: IJRTI2508013
Published In: Volume 10 Issue 8, August-2025
DOI:
Abstract: Abstract— With the increasing frequency and sophistication of cyberattacks, traditional cybersecurity threat detection methods are proving insufficient in addressing novel and evolving threats. Artificial Intelligence (AI), with its advanced capabilities in data processing and pattern recognition, has emerged as a vital component in enhancing cybersecurity defenses. This paper explores the application of AI in cybersecurity threat detection, beginning with a review of current developments in AI-based security technologies. It then focuses on the use of core techniques such as machine learning and deep learning for threat identification, while also examining the benefits of ensemble learning and multimodal data fusion. Finally, the paper discusses the ongoing challenges faced in this domain and outlines potential future directions. The goal is to contribute insights toward improving the accuracy, adaptability, and efficiency of cybersecurity threat detection systems.
Keywords: data processing, pattern recognition, Security Threads
Cite Article: "Artificial Intelligence in Cybersecurity Threat Detection: Methods, Challenges, and Future Directions", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a72-a73, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508013.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2508013
Registration ID:205508
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: a72-a73
Country: NAGERCOIL, TAMILNADU, INDIA
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508013
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508013
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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