Zero-Trust and Artificial Intelligence-Driven Security Strategies for Cyber-Physical Systems in Pharmaceutical and Defense Facilities

Abstract

Cyber-physical systems form the operational backbone of pharmaceutical manufacturing and defense facilities, where tightly coupled digital and physical processes enable precision, efficiency, and mission-critical performance. However, the convergence of information technology and operational technology has expanded the attack surface, exposing these environments to sophisticated cyber threats capable of causing physical disruption, safety hazards, regulatory noncompliance, and mission failure. Traditional perimeter-based security models are increasingly inadequate for protecting such complex and distributed systems. This article examines the application of Zero-Trust Architecture combined with artificial intelligence driven security strategies as a unified approach for strengthening cyber-physical system protection in high assurance environments. The proposed approach integrates continuous identity and device verification, micro- segmentation, and least-privilege access with AI-based behavioral analytics, anomaly detection, and dynamic risk scoring. By aligning enforcement oriented zero-trust controls with data-driven intelligence, the framework enables early threat detection, limits lateral movement, and supports rapid, risk-aware response while respecting operational safety constraints. The article synthesizes existing standards and research, develops an integrated architectural model tailored to pharmaceutical and defense contexts, and analyzes sector- specific implementation considerations. Key contributions include a structured mapping of zero-trust principles to cyber-physical system layers, the role of AI in operational security monitoring, and a comparative assessment of security priorities across regulated industrial domains. The findings highlight how coordinated Zero-Trust and AI strategies can enhance resilience, visibility, and trustworthiness in cyber-physical systems without compromising safety or operational continuity.