One of the complexities of cyber threats that comes with digitalization is the opportunity to go farther than just the traditional methods in securitization. Big Data Analytics (BDA) means that it is to be the leading tool in improving proactive, data-driven Cybersecurity. We highlight the problems and solutions when we talk about BDA in the modern era of information security. The combination of advanced algorithms and machine learning on big data allows BDA to be able to identify minor abnormalities, such as those of malicious activity, and, consequently, helps in threat hunting, behavioral analytics, and incident response. Like in the case of anomaly detection, Artificial Intelligence (AI), predictive modeling, and attack reconstruction are among the applications. The main issues that hinder it are too much data storage, inadequate skills, and privacy protection. Prospects for the future are AI, the exchange of threat intelligence, and the analysis of the cloud. This research claims that BDA should be adopted as the main feature of a flexible and effective cybersecurity system.