In recent years, there has been a steady increase in research intensity and complexity in information security, driven by rising cyberattack sophistication. This growth highlights the need for greater accessibility, interoperability, and reusability of research data and methodologies. Addressing these needs requires robust infrastructures that integrate data, tools, and methods while ensuring confidentiality and integrity. This article examines the development of specialized cybersecurity research infrastructures aligned with FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It identifies key challenges, discusses practical solutions, and emphasizes the importance of interdisciplinary integration with research domains like bioinformatics, sociology, and machine learning. Establishing such interconnected infrastructures can accelerate innovation and enhance the effectiveness of cybersecurity research outcomes.