Published Paper Details:

The field of cybersecurity is always changing because threat actors are developing more advanced methods. As a result, incorporating artificial intelligence (AI) has become essential for strengthening defenses. However, effective threat mitigation measures are hampered by the typical AI models' "black- box" character, which makes it difficult to understand their decision-making processes. This abstract explores the necessity of using Explainable AI (XAI) to threat intelligence advancement, clarifying its importance, approaches, difficulties, and potential applications. Explainable AI's deployment represents a shift in perspective, in threat intelligence advancement, empowering stakeholders to effectively and confidently traverse the intricate cybersecurity landscape. XAI enables cybersecurity experts to decipher the complexities of AI-driven insights and create focused response plans that mitigate emerging threats by promoting openness, trust, and interpretability. The use of XAI is anticipated to be crucial in creating threat intelligence going ahead protecting digital assets, and strengthening defenses against evolving cyberthreats as the cybersecurity landscape advances.