What question did this study set out to answer?

The research aims to explore how explainable AI can improve cybersecurity strategies through better understanding and transparency.

March 23, 2026Open Access

Elevating Cybersecurity Strategies with the Insights of Explainable AI

Puntos clave

The research aims to explore how explainable AI can improve cybersecurity strategies through better understanding and transparency.
Investigated the relationship between explainable AI and cybersecurity practices.
Analyzed the impact of AI explainability on decision-making processes for security analysts.
Examined the transition from traditional black box systems to more transparent AI models.
Explainable AI enhances the clarity of decision-making processes for cybersecurity workers.
Security teams can apply more effective decisions based on insights from explainable AI systems.
Reduction in complexity of cyber threat management due to transparent AI frameworks.

Resumen

Technological innovations have shifted the nature of cyber threats from being simple to complex. One of the inventive methods in this direction is Explainable Artificial Intelligence (XAI) whose embedding in IT security systems is a hopeful way of proper recognition and reaction to the threats. This paper investigates the association of XAI with the field of cybersecurity, focusing on AI explainability, through which cybersecurity workers can be surer about the part of AI in their field. Besides the fact that XAI is making the decision processes of AI engines totally clear, security analysts do not have to deal with "black box" systems in which the team is told and they use the data in a practical way, thus, security teams are able to apply the right decisions through the actual insights that they get.

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