Security Information and Event Management (SIEM) systems play a pivotal role in modern cybersecurity strategies. This paper explores the transformative potential of integrating SIEM with Artificial Intelligence (AI) to bolster organizational defenses against evolving cyber threats. The article delves into the core functionalities of SIEM technology, highlighting its strengths in centralizing and correlating security data. It then critically analyzes how AI empowers SIEM, enabling features like enhanced threat detection, contextualized security events, and proactive risk management. By leveraging supervised, unsupervised, and deep learning algorithms, AI-powered SIEM offers a comprehensive approach to cybersecurity, surpassing the limitations of traditional methods. The paper concludes by outlining a future research direction focused on developing a novel SIEM framework that incorporates cutting-edge technologies like SOAR, UEBA, and TDIR for even more robust threat detection and response capabilities.