Nowadays, Edge computing allows distributed architecture in which data is processed nearer to the data generation source. Edge Intelligence enables secure data transmission between Edge device and Cloud server. Hiding information is a communication tactic used to hide private information from view in a variety of media formats, including audio, video, and images. Using a technique known as audio steganography, private and sensitive data is protected by encoding secret information into audio format. Embedding messages in audio files is a difficult process. Host messages before the process and after, have the same characteristic only the transmission is made secure. A variety of techniques have been established to perform Audio Steganography. The foundation of the system is steganography and cryptography, two techniques that are widely applied in the security industry. The system consists of two primary components. In the first part, to encrypt the secret message in cryptography, Advanced Encryption Standard algorithm is used and the MD5-Message Digest hash algorithm is used to verify the integrity in audio files. In the second part, Using the LSB Least Significant Bit algorithm, the encrypted message is concealed inside any audio or sound file to carry out the stenographic technique. The suggested system's performance is evaluated using various test studies, and the estimations are derived using the Signal to Noise Ratio levels via more secure advancement based on data hiding capacity, resilience, and security. The experimental result indicates that the metrics in terms of data hiding quality is achieved where Peak Signal-to-Noise Ratio is 51 dB and Mean Square Error is 0.49. The metric ensuring the embedded information remains imperceptible and the quality of the audio signal is preserved with the training accuracy of 80%.