Cybersecurity vendors consistently apply AI (Artificial Intelligence) to their solutions and many cybersecurity domains can benefit from AI technology. However, black-box AI techniques present some difficulties in comprehension and adoption by its operators, given that their decisions are not always humanly understandable (as is usually the case with deep neural networks, for example). Since it aims to make the operation of AI algorithms more interpretable for its users and developers, XAI (eXplainable Artificial Intelligence) can be used to address this issue. Through a systematic literature review, this work seeks to investigate the current research scenario on XAI applied to cybersecurity, aiming to discover which XAI techniques have been applied in cybersecurity, and which areas of cybersecurity have already benefited from this technology.

翻译：网络安全供应商持续将人工智能（AI）应用于其解决方案，且众多网络安全领域均可受益于AI技术。然而，黑箱式AI技术因其决策过程往往难以被人类理解（例如深度神经网络常出现的情况），给操作者的理解与应用带来困难。可解释人工智能（XAI）旨在使AI算法的运行过程对用户和开发者更具可解释性，因此可用于解决上述问题。本文通过系统文献综述，旨在探究当前将XAI应用于网络安全领域的研究现状，试图揭示哪些XAI技术已被应用于网络安全，以及哪些网络安全领域已从该技术中获益。