Artificial Intelligence in Cyber Threat Detection

Abstract

The rapid expansion of the digital infrastructure has drastically increased the vulnerabilities of an organization to different cyber threats. In modern digital times, all sensitive information about financial data, healthcare records, business strategies, and personal information is stored and transmitted online. Due to this very reason, cyber attackers keep finding new ways to hack a system by exploring different kinds of vulnerabilities. Traditional cybersecurity systems rely heavily on predefined rules and signature-based detection mechanisms, which are often inefficient against newly emerging or unknown threats. Fortunately, this is where Artificial Intelligence comes into play. For detecting such large-scale datasets for unusual patterns or the detection of suspicious activities, AI can do these tasks much faster and more accurately. By employing ML and DL, AI can learn from some historical attack data continuously for better performance. Artificial Intelligence-driven solutions are proactive protection by detecting threats before they cause serious damage. This paper discusses the role of AI in cyber threat detection, different AI techniques applied in cybersecurity, real-world applications, benefits, challenges, and future development. This study focuses on how AI has changed the game in cybersecurity from a reactive approach to an intelligent and predictive defense system.