AI-Driven Threat Intelligence for Proactive Cybersecurity in Enterprise Networks
Danish Ather, Amanpreet Singh, Manik Rakhra, Rajneesh Kler, Gaurav Aggarwal, Kapil Jairath
Abstract
Today, new and advanced attacks arise and for this reason, effective mechanisms for the protection of enterprise networks must be developed. AI based threat intelligence systems provide the feature of continuous monitoring, big data analytics and prediction that helps to improve proactive security. This paper focus on the application of AI in threat identification, abnormality identification and response Automation with an aim of illustrating their roles in the prevention of emerging new threats. Thereby, the study identifies current trends in enterprise cybersecurity and provide case studies to show how AI-based cybersecurity frameworks can help organisations adopt a strong and dynamic security stance against sophisticated cyber threats.