Human-in-the-Loop Intelligence: Advancing AI-Centric Cybersecurity for the Future

Abstract

The rapidly evolving landscape of cybersecurity has experienced a marked surge in the exploration of state-of-the-art Artificial Intelligence (AI) methodologies, particularly with the emergence of the latest algorithms and techniques. The primary focus of the research revolves around the deep integration of artificial intelligence into crucial areas of cybersecurity, which includes activities such as authenticating user access, enhancing awareness of network situations, monitoring for potentially harmful behaviour, and identifying irregular traffic patterns. The review process meticulously unveils inherent limitations and challenges within the current realm of AI-driven cybersecurity applications. Drawing on these insights, the Human-in-the-Loop Intelligence Cybersecurity Model introduces an innovative conceptual model. This forward-looking framework aims to seamlessly synergize human intelligence with state-of-the-art AI technologies, addressing identified gaps and enhancing the overall effectiveness of cybersecurity measures. It is noteworthy that the conceptualization of this model is deeply rooted in a holistic understanding derived from it, which reflects the incorporation of the latest algorithms and techniques. By embracing the most recent advancements, this contribution offers a forward-thinking perspective to the ongoing discourse in AI-centric cybersecurity, thereby positioning itself at the forefront of this dynamically evolving field.