In recent years, DevOps, the unification of development and opera- tion workflows, became a trend for the industrial software develop- ment lifecycle. Security activities turned into an essential field of application for DevOps principles as they are a fundamental part of the secure software development in industry. A common practice arising from this trend is the automation of security tests that ana- lyze a software product from several perspectives. To effectively improve the security of the analyzed product, the identified secu- rity findings must be managed and looped back to the project team for stakeholders to take action. This management must cope with several challenges ranging from low data quality to a consistent prioritization of findings, while following DevOps aims. To manage security findings with the same efficiency as other activities in DevOps projects, a methodology for the management of industrial security findings minding DevOps principles is essential. In this paper, we propose a methodology for the management of security findings in industrial DevOps projects, summarizing our research in this domain and presenting the resulting artifact. As instance of the methodology, we developed the Security Flama, a se- mantic knowledge base for the automated management of security findings. To analyze the impact of our methodology on industrial practice, we performed a case study on two DevOps projects of a multinational industrial enterprise. The results emphasize the importance of using such an automated methodology in industrial DevOps projects, confirm our approach’s usefulness and positive impact on the studied projects, and identify the communication strategy as a crucial factor for usability in practice.