استراتيجية التكامل بين الذكاء الاصطناعي والأمن السيبراني في رصد ومواجهة الهجمات السيبرانية المبكرة

Abstract

In light of the increasing complexity and evolution of cyber attacks globally, traditional protection methods are no longer capable of effectively countering advanced digital threats. Artificial intelligence has emerged as one of the promising technological solutions capable of bringing about a qualitative shift in electronic protection systems, especially when strategically integrated within the cybersecurity framework. This study aims to analyze the dimensions of integration between artificial intelligence and cybersecurity, focusing on its role in the early detection of cyber attacks and mitigating their effects. The importance of this study arises from the accelerating context of digital transformation in institutions and vital sectors, accompanied by security challenges that require advanced solutions. Enhancing cybersecurity is no longer an option but a strategic necessity, and artificial intelligence is also a pivotal element in this path, possessing capabilities in machine learning, big data analysis, and proactive detection of anomalous patterns in network behavior. The problem of the study lies in the following question: How can effective integration between artificial intelligence and cybersecurity be achieved as a strategy for the early detection of cyber attacks? This study aims to analyze the aspects of integration between artificial intelligence techniques and cybersecurity systems, as well as to monitor cyberattacks before they occur. Additionally, this study aims to identify the challenges that impede this integration, whether technical or organizational, and to provide effective models for applying this integration in modern digital environments. This study relied on both analytical and comparative methodologies. The analytical approach focuses on analyzing certain concepts and phenomena related to the study's topic, as well as understanding the dimensions of this integration between artificial intelligence and cybersecurity. Meanwhile, the comparative approach involves comparing different models that have employed artificial intelligence in cybersecurity and the various artificial intelligence applications that have been utilized to enhance cybersecurity.