AI-Driven Threat Intelligence for Proactive Cybersecurity in Enterprise Networks


연구 분야: Safety



학회: 2025 International Conference on Networks and Cryptology (NETCRYPT)


초록

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.


Author Profile
Danish Ather

Amity University in Tashkent Tashkent Uzbekistan

India
Author Profile
Amanpreet Singh

School of Computer Science and Applications Lovely Professional University Phagwara Punjab India

Andorra
Author Profile
Manik Rakhra

Department of Computer Science and Engineering Lovely professional University Phagwara Punjab India

Andorra

📄 논문 정보

발행 연도 2025년
인용수 28
출판 국가 Andorra, India
사이트 IEEE
좋아요 수 0

연관 논문 목록 (717건)