01308nas a2200145   4500000000100000008004100001260001500042100001800057700002300075700001800098245011300116856004700229520087200276022001401148       2020                            d  c2020-12-021 aSagar Samtani1 aMurat Kantarcioglu1 aHsinchun Chen00aTrailblazing the Artificial Intelligence for Cybersecurity Discipline: A Multi-Disciplinary Research Roadmap  uhttps://dl.acm.org/doi/abs/10.1145/34303603 a In this article, we aim to provide an important step to progress the AI for Cybersecurity discipline. We first provide an overview of prevailing cybersecurity data, summarize extant AI for Cybersecurity application areas, and identify key limitations in the prevailing landscape. Based on these key issues, we offer a multi-disciplinary AI for Cybersecurity roadmap that centers on major themes such as cybersecurity applications and data, advanced AI methodologies for cybersecurity, and AI-enabled decision making. To help scholars and practitioners make significant headway in tackling these grand AI for Cybersecurity issues, we summarize promising funding mechanisms from the National Science Foundation (NSF) that can support long-term, systematic research programs. We conclude this article with an introduction of the articles included in this special issue.  a2158-656X