AI-Enhanced SIEM Orchestration: Automating Security Responses with Machine Learning

Abstract

As cybersecurity threats grow increasingly sophisticated, traditional Security Information and Event Management (SIEM) systems face challenges in processing the vast amount of data generated by modern IT infrastructures. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into SIEM orchestration presents an innovative approach to enhance threat detection, incident response, and security automation. This paper explores the role of AI-enhanced SIEM orchestration, its impact on automating security operations, and the various machine learning techniques employed to streamline security response. Key challenges, benefits, and future directions are also discussed.