Latest research in Data Integrity and Availability in Cloud Security focuses on developing robust frameworks and mechanisms to ensure that data remains accurate, consistent, and accessible in cloud environments. Studies highlight approaches such as cloud-assisted authentication schemes, hierarchical feature fusion, and adaptive data preprocessing techniques to detect anomalies, prevent data tampering, and maintain reliability in cloud-based relational databases. Research also explores the integration of blockchain technology to enhance trust, transparency, and immutability of stored data. Overall, these advancements aim to provide scalable, secure, and resilient solutions that guarantee both the integrity and continuous availability of data in complex, multi-tenant cloud infrastructures.