部落格

OT data governance refers to the systematic management, standardization, and quality control of various data generated in industrial environments, enabling effective support for enterprise decision-making and AI applications. It encompasses the entire process from data acquisition, format conversion, quality checking, access control, and access mechanisms to subsequent storage and application. Unlike IT data governance, OT data governance must consider challenges such as the diversity of equipment communication protocols, the complexity of data types, real-time requirements, data security, and edge computing capabilities.

This white paper aims to help readers explore how to choose a suitable AIoT platform from four core cybersecurity perspectives. It covers the cybersecurity architecture and implementation mechanisms required during the design and deployment phases, and utilizes international standards (such as ISO 27017 and IEC 62443), encrypted communication protocols, trusted hardware components, and remote secure access technologies to correctly select an end-to-end AIoT security system with prevention, defense, monitoring, and tracking capabilities. This not only helps enterprises achieve digital transformation through AIoT but also helps organizations face increasingly complex cybersecurity threats.