SecureAI is an international, peer-reviewed, open-access journal dedicated to advancing cutting-edge research at the intersection of artificial intelligence, cybersecurity, Internet of Things (IoT), blockchain technologies, and big data analytics. The journal provides a high-impact, interdisciplinary platform for addressing the growing complexity of securing intelligent, data-driven, and interconnected digital infrastructures.

As digital systems become increasingly autonomous, distributed, and data-intensive, traditional security paradigms are no longer sufficient. SecureAI responds to this challenge by unifying research that leverages AI and advanced analytics to detect threats, enhance trust, ensure privacy, and build resilient cyber-physical systems. By integrating perspectives from computer science, engineering, data science, and applied security, the journal aims to bridge theoretical innovation and real-world deployment.

SecureAI is committed to publishing rigorously reviewed, high-quality research that drives scientific progress, informs industrial practice, and supports evidence-based policy and governance. With a strong emphasis on originality, relevance, and cross-disciplinary impact, the journal aspires to become a leading global forum shaping the future of AI-driven cybersecurity and secure intelligent systems.