AI-powered threat detection in modern cybersecurity systems: Enhancing real-time response in enterprise environments
Shayma Sultanan, Md Mostafizur Rahman, Mohammad Shahadat Hossain, Md Najmul Gony, AL Rafy · World Journal of Advanced Engineering Technology and Sciences · 2022
The rising complexity of cyber threats demands enhanced security systems to protect computer networks. Traditional detection methods like signature-based systems cannot handle the sophisticated security attacks in the modern landscape. Artificial intelligence (AI) serves as a transforming technology that helps detect threats together with their real-time response mechanisms. The research evaluates AI technology as it improves cybersecurity elements by studying its deployment within enterprise security systems. Machine learning, deep learning, and natural language processing functions in AI technologies create autonomous systems that proactively identify security threats to prevent them. Problem prevention systems that use AI capabilities enable threat detection through pattern recognition, recasting, and time, as well as reduction in response. The research explains the benefits alongside technological difficulties and practical implementations of artificial intelligence for threat monitoring within contemporary cybersecurity designs.