In digital image watermarking digital media is safeguarded from illegal access, unauthorized modification, and copyright infringement. In this study, a watermarking scheme is represented by integrating the Gray Wolf Optimization (GWO) and Genetic Algorithm (GA) for intensifying the watermark embedding process. Here GWO and GA are hybridized to combine the strengths of both algorithms, where GWO provides a strong global search capability, while GA enhances the local search refinement, leading to improved optimization in the watermark embedding procedure. The Least Significant Bit (LSB) and IWT (integer wavelet transform) methods are employed for embedding the watermark, as they minimally affect the visual quality of the host image while maintaining simplicity and computational efficiency. By using the hybrid GWO-GA algorithm, the proposed approach optimally selects embedding positions in the host image’s pixel values, thus improving the robustness and imperceptibility of the watermark. Experimental results demonstrate that the hybrid optimization approach achieves high resistance against common image processing attacks while preserving the integrity of the host image. This hybrid model shows promise in striking a balance between watermark robustness and image quality, paving the way for enhanced digital rights management in multimedia applications.