Latest research in Log Security in Cloud focuses on developing robust frameworks and methodologies to ensure the integrity, confidentiality, and availability of log data across distributed cloud environments. Studies highlight multi-cloud repository structures for secure aggregation and analysis of flow logs, addressing challenges related to cost, scalability, and query infrastructure. Research also explores the integration of artificial intelligence to enhance threat detection, automate responses, and improve cyber resilience, along with reinforcement learning–based adaptive security policies for dynamic adjustment of firewall rules and access controls. Overall, these approaches aim to provide efficient, scalable, and reliable solutions for maintaining secure and trustworthy log management in cloud computing.