With the increasing reliance on digital media for data transfer, image-based communication has become widely adopted among critical sectors [1]. The growing frequency of cyber-attacks and data breaches has led to greater attention towards secure image transmission [6]. Previous research states that cryptographic encryption of images alone is insufficient; therefore, there is a need for a hybrid technique that has increased efficacy for images in case some parts of the data get deciphered by malicious attackers. The novelty of this research lies in a hybrid encryption approach that combines AES cryptography with a dynamic splitting and stitching mechanism to safeguard user’s confidential data. This system will split the user images into dynamic variable-sized segments in real-time based on the image size. The next step is to encrypt each split segment using the AES algorithm and send it securely to the end user. The encrypted segments will be decrypted using the secure key and stitched together using the SIFT technique [3]. The result indicates minimal distortion in the decrypted image and strong structural similarity to the original image depicting image integrity [2]. Additionally, the encryption method ensures high randomness and strong resistance to attacks, validating its robustness for secure image transmission. While the encryption process stays computationally efficient, the splitting, stitching and decryption stages introduce additional processing time [10]. This trade-off results from the system’s dynamic nature, prioritizing security and image integrity without significantly compromising overall performance. The proposed methodology can be applied to high security sensitive industries like the government, defence, corporate sectors, etc.