Quick to implement.
Slow to secure.

Article data and insights provided by: IBM Institute of Business Value
Author: Christopher Maycher

Today’s vehicles are evolving from a mode of transport to also serve as a new kind of moving data center with onboard sensors and computers that capture information about the vehicle. Using such real-time data, IBM helps automakers deliver new services that the connected consumer needs and expects from an increasingly digital vehicle experience.

Our combined strength in manufacturing and depth of global automotive expertise can help address consumer concerns about safety and quality.

Innovative technologies like watsonx for analytic capabilities can meet original equipment manufacturer (OEM) and supplier needs, including products and services that are more secure and reliable to enable higher brand loyalty
and customer satisfaction.

As the automotive industry aims for stronger cybersecurity, securing connected and autonomous vehicles gets all the attention. But companies need to focus on fundamentals — the industrial systems used for manufacturing automobiles and their increasingly connected components.

Bringing ‘intelligent industrial things’ online without effective cybersecurity puts an entire company at risk.

Based on an IBM Institute for Business Value (IBV) survey, 87 percent of automotive companies are implementing industrial IoT technologies in plants and assembly lines without fully evaluating risk or preparing effective responses.

Just over one-third of automotive executives report that devices and sensors are the most vulnerable parts of their IoT deployments. Almost half report that applying software patches to connected objects is the greatest challenge to securing them.

Automotive companies need improved cybersecurity capabilities that are contextual, cognitive and adaptive, allowing them to continuously identify, mitigate and prevent risk at user access points.

Among the most critical IoT-related risks is the exposure of sensitive data throughout a manufacturing or product ecosystem. A significant amount of proprietary data and intellectual property is shared across automotive supply chains. If exposed or stolen, this data can put a company’s future business at risk.

The number one type of incident is data leakage. It accounts for over a quarter of IoT cybersecurity incidents in the industry.

To combat insider attacks and prevent information from being stolen or compromised, implement controlled access to data. Know who has been granted entitlements to access sensitive functions or data. Monitor and audit the actions of those privileged users closely.

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Automotive

Automotive manufacturers need agile supply chains, enhanced ecosystem monitoring, and data integrations for the software-defined products of the future.

Industrial
Manufacturing

Large-scale production increasingly demands intelligent workflows to streamline the operations and processes among global networks.

Aerospace & Defense

Strict management of increasingly complex logistics, supply chain, procurement and maintenance are becoming mission-critical in today’s turbulent world.

Industrial Service

AI-enabled tools, advanced application management, and digital products to support your experts are driving a shift in the way services can be delivered.

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