  Biotechnology Industry 5.0 is advancing with the integration of cutting-edge
technologies like Machine Learning (ML), the Internet Of Things (IoT), and
cloud computing. It is no surprise that an industry that utilizes data from
customers and can alter their lives is a target of a variety of attacks. This
chapter provides a perspective of how Machine Learning Security Operations
(MLSecOps) can help secure the biotechnology Industry 5.0. The chapter provides
an analysis of the threats in the biotechnology Industry 5.0 and how ML
algorithms can help secure with industry best practices. This chapter explores
the scope of MLSecOps in the biotechnology Industry 5.0, highlighting how
crucial it is to comply with current regulatory frameworks. With biotechnology
Industry 5.0 developing innovative solutions in healthcare, supply chain
management, biomanufacturing, pharmaceuticals sectors, and more, the chapter
also discusses the MLSecOps best practices that industry and enterprises should
follow while also considering ethical responsibilities. Overall, the chapter
provides a discussion of how to integrate MLSecOps into the design, deployment,
and regulation of the processes in biotechnology Industry 5.0.
