The Role of Explainable AI in cyber threat intelligence: Enhancing transparency and trust in security systems
Mashfiquer Rahman, Mashfiquer Rahman, Shafiq Ullah, Sharmin Nahar, Mohammad Shahadat Hossain, Mostafijur Rahman, Mostafizur Rahman, Mostafijur Rahman, Mostafijur Rahman · World Journal of Advanced Research and Reviews · 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.