Data volumes are expanding rapidly from gigabytes to terabytes and even petabytes due to the increase in real-time data generation. This large amount of data is transmitted via the Internet and stored in cloud computing environments. Cloud computing offers Internet-based services where attackers and malicious users attempt to access confidential data without authorization. Sometimes, they replace original data with fake data. Consequently, ensuring data security has become a critical concern. Feedback DNA and AES are utilized in this chapter to ensure data security. DNA cryptography is a rapidly emerging technique that offers a secure way to transmit data from one place to another. In this chapter, a 256-bit key is used for encryption through AES. We propose a scheme for secure and optimized data sharing while maintaining data security and integrity during communication. The proposed method combines the Feedback DNA and the Advanced Encryption Standard (AES). To validate the proposed method's efficiency, it was executed in a Jupyter Notebook using SageMath. This implementation measured the time required for key generation, encryption, and decryption across different data sizes. The experimental results show that the proposed approach is efficient and yields better results when compared with other existing techniques.