Image steganography is one of the prominent technologies in data hiding standards. Its goal is to embed confidential data into images without causing perceptible changes in the original image. The increasing number of embedding bits makes distortions in the stego's visual quality making the system easily detectable to the eavesdropper. An appropriate embedding technique along with an efficient system may achieve a fair balance between embedding capacity and stego image imperceptibility, but it is challenging. In this article, we present a randomized embedding approach based on the hybridization of multiple edge detectors that improve the security and robustness of the system by hiding secrets in RGB images. The cover image is subjected to a hybrid edge detection technique using the Fuzzy, Canny, and Prewitt filters to fine-tune the appropriate edges. The suggested approach embeds secret data using edge pixels only to reduce visually detectable distortion and resist the stego from visual attack. The message is randomly incorporated into the edge pixels of the blue channel's LSBs. The experiments show that the method conceals secrets in cover images without compromising the quality of the stego image and is sufficiently resilient against statistical attacks. Furthermore, the outcomes demonstrated that the suggested algorithm outperforms comparable strategies in every evaluation criterion.