As the cybersecurity landscape evolves, modern Security Information and Event Management (SIEM) platforms, enhanced by artificial intelligence (AI), play a crucial role in aiding Security Operations Center (SOC) teams to better manage their security data, analyze threats, and implement responses. The integration of AI into SIEM systems offers numerous benefits, such as accelerating threat detection, reducing false positives, and streamlining workflows, which helps alleviate challenges like alert fatigue and talent shortages faced by SOC teams. AI-driven SIEM solutions also provide advanced features like user behavior analytics and integration with security orchestration platforms, improving both compliance and threat response efficiency. Despite the advantages, legacy SIEM systems face limitations in scalability and integration, prompting organizations to transition to modern, AI-enhanced solutions. The adoption of these advanced SIEMs is evident across industries—from finance to healthcare—allowing companies to address complex security challenges while maintaining regulatory compliance. As AI continues to shape the future of SIEM, cloud-native solutions are anticipated to gain prominence, offering scalability, flexibility, and predictive analytics to keep pace with the rapidly changing threat landscape.