The paper is focused on the analysis of the state and risks to Kawo Amado Kella's defensive wall cultural legacy in Wolaita, Ethiopia, and the effects of development project priority, modernity, religion, and globalization. The paper identified the current framework of documentation and conservation policies applied to cultural heritage. Value-based conservation strategies are stated as essential for sustainable heritage management. An efficient management of the defensive wall is stated as necessary to conserve, maintain, and restore heritage structures from any natural and manmade problems. The study used a qualitative ethnographic research approach. Purposive and snowball sampling procedures were utilized in this investigation. There were a total of 171 interviews conducted during all stages of the process. In total, there were 64 women. By being conserved, restored, and preserved, the cultural legacy of Kawo Amado Kella's defensive wall not only helped to preserve an ancient civilization but also contributed to the development of a distinct national and international culture.

Ethiopia has a long history and is home to several cultural heritage monuments, including the Aksum Obelisk, Gonder's Fasile-Genbe (Fasile Palace), Lalibela Monolithic Church, and Harari's city walls. The history of the Kawo (King) Amado Kella defensive wall in Wolaita, southern Ethiopia, was investigated in this research. The report provides a thorough to elucidate the indigenous knowledge relating to the history and construction of ‘Kawo Amado Kella’, the purpose of construction, significance, material technology, changes, and continuity. To obtain data, the researcher employed a qualitative ethnographic approach. In-depth interviews, focus group discussions, and semi-structural interviews were used to collect data. In addition, pedestrian surveys record the wall implemented. It took place in the Wolaita zone's Woredas (districts). Residents who live near the region's defensive wall were the study's target group. The data were analyzed utilizing description and interpretation in thematic data analysis.