  Assessing the maturity of security practices during the development of
Machine Learning (ML) based software components has not gotten as much
attention as traditional software development. In this Blue Sky idea paper, we
propose an initial Machine Learning Security Maturity Model (MLSMM) which
organizes security practices along the ML-development lifecycle and, for each,
establishes three levels of maturity. We envision MLSMM as a step towards
closer collaboration between industry and academia.
