AI and Cybersecurity in Smart Manufacturing: Protecting Industrial Systems

Abstract

Limited industrial system security occurs due to fast industrial machinery unification with AI and IIoT devices and automation systems for intelligent production spaces because hackers leverage these targets to infiltrate malicious code while also gaining access to sensitive information. This research assesses how security mechanisms which unite AI with Zero Trust Security principles combine defense-in-depth methods for protecting industrial production sites against threats. When AI detects security threats right away it automatically starts security protocols for manufacturers to stop digital attacks before they begin. Companies achieve maximum protection when they secure their IIoT equipment and create network segmentation and MFA implementation. Company security success emerges when dedicated employees support protective security systems that are consistently developed for their needed purposes. Studies from recent times demonstrate that organizations which create dependable incident response plans and maintain continuous business continuity alongside employing modern cybersecurity policies achieve secure industrial system outputs. The security system needs AI components that manufacturers must create to safeguard their industrial networks against cyber threats in this digital age.