Today's encryption and decryption processes rely heavily on the use of modern stenography techniques, which ultimately lead to steganalysis. Because of its enormous benefits, such as the protection of information or the transport of data, steganalysis is increasingly becoming an interesting research topic. This investigation is primarily concerned with steganalysis techniques, more specifically those that are utilized on photographic images. In this research, the many LSB steganalysis processes that are supported by previous research are investigated further, along with the outcomes of those operations. According to the findings of this research, in order for modern steganography and steganalysis techniques to be more efficient, they need to fundamentally incorporate artificial intelligence and machine learning methodologies. Keywords: Steganalysis, LSB, Replacement, Local Gradient, Image Histogram