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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

The Role of Explainable AI in cyber threat intelligence: Enhancing transparency and trust in security systems

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  • The Role of Explainable AI in cyber threat intelligence: Enhancing transparency and trust in security systems

Mashfiquer Rahman 1, *, Shafiq Ullah 2, Sharmin Nahar 3, Mohammad Shahadat Hossain 4, Mostafizur Rahman 5 and Mostafijur Rahman 6

1 Department of Computer Science, American International University-Bangladesh.
2 Department of Computer Science, Maharishi International University, Iowa, USA.
3 Department of Applied Physics, Electronics & Communication Engineering, University of Dhaka.
4 Department of Computer Science, American International University-Bangladesh.
5 Department of Computer Science & Engineering, Daffodil International University Dhaka Bangladesh.
6 Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology (RUET), Bangladesh.
 
Research Article
World Journal of Advanced Research and Reviews, 2025, 23(02), 2897-2907
Article DOI: 10.30574/wjarr.2024.23.2.2404
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2404
 
Received on 30 June 2024; revised on 08 August 2024; accepted on 10 August 2024
 
XAI technology transforms cybersecurity by enabling transparent, secure systems that gain users' trust in AI threat information processes. This research examines how XAI improves cybersecurity systems through CTI by enhancing security models' interpretability and decision-making capabilities based on AI algorithms. The research evaluates how XAI addresses trust problems in typical AI systems because of their "black box" operation. Security frameworks with XAI components enhance user reliability and defensive quality by improving detection methods and response capabilities. Experts have confirmed that transparent artificial intelligence models increase trust between security professionals, policymakers, and organizational units. XAI is vital in modern cybersecurity developments because it strengthens organizational protection while improving decision choices. This study provides reasonable recommendations for industry stakeholders and academic institutions to develop explainable AI strategies for future cybersecurity application development.
 
XAI; trust; Cybersecurity; Threat detection; Decision-making; Transparency; Threat Intelligence
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2404.pdf

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Mashfiquer Rahman, Shafiq Ullah, Sharmin Nahar, Mohammad Shahadat Hossain, Mostafizur Rahman and Mostafijur Rahman. The Role of Explainable AI in cyber threat intelligence: Enhancing transparency and trust in security systems. World Journal of Advanced Research and Reviews, 2024, 23(2), 2897-2907. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2404

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