A Comprehensive Guide to Manufacturing Cyber Security
Securing critical manufacturing sectors from today’s cyber risks & threats.
The manufacturing sector is one of the largest, most diverse, and rapidly changing segments of the global economy. And it is a top target for cyber adversaries. Robotics, automation, machinery, IoT/IIoT, smart devices — it’s time to secure manufacturing from threats, hackers, and risks.
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Cybersecurity in Action
Learn how improved cybersecurity helped a paper mill manufacturer extend control system lifespan.View Case Study
Table of Contents
Key manufacturing segments include aerospace and defense, automotive, chemicals, computer hardware, electronics, construction, consumer packaged goods (CPG), food and beverage, transportation, pharmaceuticals, and industrial manufacturing.”
We are in the midst of a fourth Industrial Revolution that is upending traditional notions of best practice in operations, supply chain management, cybersecurity, disaster recovery, and other aspects of manufacturing. This revolution is driving a wholesale re-evaluation of how to approach cybersecurity in manufacturing and has created a consensus that a complete migration to this new manufacturing environment cannot be successful without cybersecurity itself becoming a foundational pillar of this new era.
What has become known as Industry 4.0 has been evolving and consolidating for almost a decade, with Germany driving innovation and investment. (Aspects of this idea are also found in Japan’s Society 5.0 initiative and China’s Made in China 2025 industrial plan.) The number of technologies finding their way onto manufacturing floors, into supply chains, and new categories of connected objects is both impressive and bewildering. There truly is a revolution underway, and it is global in its reach and increasingly in its impact. Early adopters have included automotive, mechanical and plant engineering, electronics, and high technology manufacturers.
Industry 4.0 refers to a combination of hardware, software, and services that is modernizing manufacturing infrastructure to improve efficiencies in all aspects of manufacturing processes. Technologies that are being applied to create smart factories include: robotics, sensor technology, additive manufacturing (3-D printing), augmented and virtual reality, wearables, artificial intelligence and machine learning, big data analytics, and cloud computing.
The goal of integrating these technologies into manufacturing is to deliver smart, more aware, more agile, and more resilient infrastructure to design, optimize, and create manufactured goods. This is all done while delivering a safer work environment that uses fewer resources and optimizes maintenance practices to limit downtime.
Industry 4.0 adoption is reaching down into small- and medium-sized businesses (SMB) and across all types of manufacturing. Many of these technologies do not require large capital investments. Not every manufacturer needs expensive robotics, for example. The most important technologies being deployed broadly by manufacturers are robotics, wearables, connected devices (IoT), additive manufacturing (3-D printing), virtual reality (VR) and augmented reality (AR), artificial intelligence (AI) and machine learning (ML), and big data analytics.
The first industrial robot was deployed in 1961. While the use of robots in manufacturing has continued to expand over the decades, the majority are still used in automotive plants, where they represent more than half the “labor” needed to build automobiles and trucks. Robotics has advanced to the point that 100% automated “lights-out” factories have been operational for several decades in sectors such as computer manufacturing.