This study develops a 2D cellular automaton model to simulate corrosion processes using Fick’s second law of diffusion and Reaction Kinetics. The model accurately predicts corrosion initiation and propagation under various environmental conditions, providing valuable insights for designing effective corrosion prevention strategies. The verification process confirmed the accurate implementation of theoretical principles, while simulation results highlighted the progression of corrosion and the impact of protective layers and different metal corrosion rates. Furthermore, the model emphasizes the potential of AI-assisted tools in advancing research methodologies. Continuous refinement and expert oversight are essential to enhance the reliability of these tools. This work demonstrates the significant role of Cellular Automata (CA) in understanding complex corrosion mechanisms and underscores the necessity for ongoing improvements in simulation techniques. By integrating theoretical and practical aspects, this study offers a robust framework for future research and applications in corrosion management.