The Role of Explainable AI in Enhancing Threat Intelligence Analysis in Cybersecurity Operations

Explainable Artificial Intelligence is a set of techniques that make the results of AI solutions understandable to humans, allowing for practical confirmation.Explainable AI is being employed in different domains including healthcare, finance, fraud detection and cybersecurity etc. to provide interpretability and explanation to traditional AI black-box models thereby enhancing user satisfaction.The need for interpretable AI systems in cyber threat analysis has become imperative.This paper explores the role Explainable AI in enhancing threat intelligence analysis in cybersecurity operations.Threat intelligence analysis involves the process of planning, collecting, processing, and analysing data to identify and assess cyber threats to provide actionable insights that can be disseminated for proactive defence against cyber threats.The paper examines various Explainable AI techniques and their applicability in deciphering complex threat landscapes leading to improved threat detection and mitigation.The lack of transparency and interpretability of black box models can lead to deficiencies in threat intelligence analysis, making it essential to apply Explainable AI to increase trust in AI threat intelligence systems and efficiently manage the next generation of cyber defense mechanisms.The paper unveils the benefits and challenges of integrating Explainable AI in cyber threat intelligence analysis and provides suggestions for successful integration.