An Artificial Intelligence – Based Approach for Cyber Threat Detection in Network Systems

The rapid growth of digital technologies and internet connectivity has significantly increased the risk of cyber threats. Organizations, governments, and individuals face various cyberattacks such as malware, phishing, ransomware, and network intrusions. Traditional cybersecurity systems rely mainly on signature-based detection methods, which are often unable to detect new and evolving threats. Artificial Intelligence (AI) has emerged as a powerful technology that enhances cybersecurity by enabling systems to automatically analyze data, identify suspicious activities, and detect potential threats. AI techniques such as machine learning and deep learning allow security systems to process large volumes of network data and recognize abnormal patterns associated with cyberattacks. This research paper explores the role of Artificial Intelligence in cyber threat detection, including its working mechanism, advantages, and challenges. A review of recent research studies highlights how AI-based intrusion detection systems improve the accuracy and efficiency of cybersecurity solutions. The study concludes that AI has the potential to significantly strengthen cyber defense systems and play a critical role in protecting digital infrastructures in the future.