Integrating MLSecOps in the Biotechnology Industry 5.0
Naseela Pervez, Alexander J. Titus
TL;DR
The chapter argues that Biotechnology Industry 5.0, with its deep integration of ML, IoT, and cloud-based data, faces heightened cyber threats to data, models, and production pipelines. It advocates MLSecOps as a dual-use strategy: leveraging ML for security while protecting ML assets, including genome data and AI-enabled biotech workflows. Key contributions include a threat landscape analysis tailored to biotech, a survey of current regulatory frameworks and compliance challenges, and a set of best practices for risk assessment, robust system design, monitoring, and incident response. The discussion also foregrounds ethical and social responsibilities, emphasizing transparency, bias mitigation, and governance to ensure secure, privacy-preserving, and socially beneficial biotech innovations with global interoperability.
Abstract
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.