Metals are used for various purposes such as materials in construction, pipelines, transportation vehicles, electrical equipment and more. Metals in nature (ores) are found to be in a stable state, but during processing they transition into a metastable state. In the metastable state, they are susceptible to a chemical reaction with the environment called corrosion, that results in the mass loss of the metal material and potential damage. Each year, the need for producing replacement metal parts due to corrosion-related effects is growing, posing a significant burden on today's economy. As a result, increasing investments have been made for the research and application of predictive corrosion maintenance. Predictive corrosion maintenance is a technique that allows the prediction of corrosion occurence on metal surfaces by simulating real corrosion system conditions. It involves protective techniques for metals and alloys, as well as monitoring techniques for the corrosion system itself. To propose a corrosion protection system for metals, knowledge from fields such as electrochemistry, metallurgy and physics must be applied. This study provides a brief overview of corrosion types and well-known protection techniques. It also reviews the literature on the latest advancements in predictive corrosion maintenance and suggests a protection system for maritime vessels by integrating artificial intelligence into the system.