Security Information and Event Management (SIEM) systems, essential for intrusion detection and response, face significant challenges in multi-cloud environments due to issues with compatibility, data complexity, and scalability. As organizations shift to cloud-based infrastructures, traditional SIEMs struggle to process diverse, high-velocity cloud data and often lack out-of-the-box capabilities for threat detection across different cloud platforms. This complexity is compounded by the steep learning curve required to interpret cloud security data, which differs markedly from traditional security indicators, often leaving practitioners without sufficient support. Despite claims of supporting multi-cloud environments, many SIEMs fall short in practice, failing to meet the dynamic requirements of rapidly evolving cloud instances. Solutions like Elastic's cloud security-focused SIEM aim to address these challenges by offering tools designed to handle the intricacies of cloud security, emphasizing the need for systems that can effectively normalize and process cloud data in real-time.