Rice, Oryza sativa L., is an essential food for the survival of human society. Rice production is challenged by several biotic and abiotic constraints, including insect pests. From sowing until harvesting, about 217 insect species reportedly feed on rice plant, including planthoppers, stem borers, and leaf folders, altogether causing losses of 37%. Chemical pesticides are perceived to be the most promising solutions to cope with rice pest challenges, but concerns of pest resistance and environment pollution necessitate their replacement with safer, efficient and more resiliant approaches. Integrated pest management (IPM) is a globally endorsed paradigm that benefits from ecological principles and creates new avenues to manage pest challenges, for example, it promotes the use of sowing date adjustment, intercropping, plant spacing, flooding, managing crop residues, and host plant resistance (HPR) to discourage pest development and severity to subsequently reduce pressure on agrochemicals. Manipulating habitat management practices, for example, banker plant systems, bund crops, trap plants to support biological control is another promising way of enhancing natural pest suppression and reducing insecticide load. Sensible use of inundative releases of Trichogramma wasps to manage lepidopteran pests has proved to be equally effective as chemical control with respect to grain yield. Recent advancements to reduce pesticide use include internet of things (IoT) systems, which are automated programmed systems based on artificial intelligence (AI). Automated sensor based systems mounted on ground vehicles or aerial vehicles visualizing pest (through visual imaging), or devices able to sense chemical/physical cues from stressed plants (under herbivore attack) are tested effective in timely implementation of precise control. Machine learning based automated traps can mitigate conventional pest monitoring challenges for timely pest detection. This chapter discusses recent advances made with IPM in typical context of rice pest management.