Cloud Security Intelligence and its importance as the protection layer for the modern cloud environment are discussed. The paper aims to explore using SIEM, Data Engineering, AI, and DevSecOps to improve cloud security. This work comprehensively emulates security situations based on top-level techniques and methods. The simulation reports represent numerous attack approaches and defense measures and show the efficiency of the applied security concepts. Furthermore, we describe the actual examples based on the existing security threats and the typical situation of cloud security management. Some of the solutions provided are presented in graphs to show actual trends and patterns in data security, to help define the effects of the various security measures on specific data sets, and, in general, to indicate the problem areas. Throughout the report, we discuss problems related to cloud security, such as data privacy, threat identification, and response speed. In this case, the strategies and possibilities for overcoming and increasing overall safety are described for each of them. Therefore, this report reveals broad information about cloud security intelligence and offers some advice on strengthening security in the cloud, emphasizing the necessity of developing and implementing modern technologies and approaches to counteract the development of new threats