The increasing recognition of the significance of indigenous knowledge urges its application in disaster risk reduction. While there is growing advocacy for combining indigenous knowledge with scientific expertise, there is still no well-established framework demonstrating how to integrate these two forms of knowledge effectively to mitigate community vulnerability to environmental hazards. This chapter seeks to recognize the rich diversities of traditional ecological knowledge (TEK) inherent in Indigenous communities and the advancements in scientific methodologies, to establish a unified framework that harnesses the strengths of both paradigms. Drawing on historical perspectives, the research delves into the intricacies of Indigenous knowledge systems, exploring community-based practices and cultural insights that contribute to a holistic understanding of risk. In parallel, the scientific foundations of risk reduction are examined, encompassing contemporary risk assessment methodologies, technological advancements in monitoring, and the effectiveness of early warning systems. The research showcases case studies where the harmony between Indigenous and Scientific knowledge has led to successful risk reduction outcomes, providing valuable insights into collaborative initiatives across diverse cultural contexts. It also delves into governance and policy, proposing strategies for incorporating Indigenous perspectives into disaster management policies. Community empowerment and engagement are emphasized, with a focus on inclusive, community-based planning that recognizes and respects traditional wisdom. The chapter concludes by summarizing key findings, underscoring the importance of traditional knowledge for effective risk reduction, and advocating for a collective approach toward building a resilient and sustainable future. This text contributes to the evolving discourse on integrated knowledge systems, providing actionable insights for policymakers, practitioners, and researchers invested in advancing the field of disaster management.