The SIEM (Security Information and Event Management) market is undergoing significant changes due to the integration of AI technologies, transitioning from traditional manual systems to AI-driven security analytics to better address the evolving landscape of cyber threats. Legacy SIEM systems, reliant on manual processes for managing logs and responding to threats, are becoming obsolete in the face of sophisticated cyberattacks that require rapid detection and response capabilities. AI-enhanced SIEM solutions provide enhanced visibility, reduce false positives, streamline workflows, and enable organizations to effectively manage and analyze data in real-time, ultimately strengthening security postures. As organizations consider transitioning to AI-driven SIEM solutions, they must evaluate their current capabilities and needs, considering factors such as data integration, workflow efficiency, and the ability to adapt to new AI technologies, while also being mindful of potential risks associated with using third-party AI tools.