This study examines at the difficulties and developments in improving the security of encrypted data queries with multiple users in cloud systems. Ensuring safe and effective access to encrypted data in multi-user environments has become essential as cloud computing continues to dominate numerous industries. The intricate requirements of multi-user systems are frequently not met by conventional encryption solutions, especially when it comes to data privacy and access control. Recent developments in cryptographic methods, including attribute-based encryption, proxy reencryption, and homomorphic encryption, have made major progress in protecting data while preserving query functionality. By enabling secure query processing on encrypted data without requiring decryption, these techniques lower the possibility of data leakage. Furthermore, hybrid encryption models and AI-driven access policies support dynamic and adaptable data access, while the use of blockchain technology for decentralized access management provides improved transparency, immutability, and security. Scalability, computational effectiveness, and real-time processing are still major obstacles, though. In order to increase security, scalability, and performance in multiuser encrypted data queries, this study proposes a hybrid encryption architecture that combines blockchain-based authentication, fully homomorphic encryption (FHE), and attribute-based encryption (ABE). By addressing the shortcomings of existing solutions, the suggested framework seeks to offer a dependable, scalable solution that guarantees private and secure data access in