IBM POINT OF VIEW: INTERNET OF THINGS SECURITY

whitePaper | May 18, 2022

Networking and security teams have historically relied on protections at the network perimeter to secure the entire enterprise. The internal network was deemed trusted and secure. While everything outside was considered “dirty,” everything on the internal network was considered “clean,” and application traffic would flow unrestricted. However, recent and developing shifts in enterprise working models are having a far-reaching effect on the traditionally managed network perimeter for security.

whitePaper | November 28, 2019

We are moving to a time where many ‘things’ that we know and use have the capability to be connected to a network either wired or wirelessly. The way we use technology is becoming more integrated in all aspects of our daily lives and is steadily integrating within the enterprise environment. A core concern for businesses is therefore the risk of introducing Internet of Things (IoT) devices to the enterprise.

whitePaper | June 22, 2022

Transforma Insights analysis points to an 8-13% saving to be made on lifetime connectivity spend by enterprises if they choose eSIM and iSIM options rather than removable plastic SIM cards for their IoT deployments. Embedded SIM (eSIM), and to a lesser extent its coming successor integrated SIM (iSIM), have established themselves as part of the range of capabilities that need to be carefully considered by an organisation when planning a cellular-based IoT solution. Alongside the physical components of eSIM and iSIM.

whitePaper | September 5, 2022

Today’s well-designed, secure and compliant internet of things (IoT) products and services possess extraordinary capabilities. But even knowing the tremendous amount of potential that exists, it can be overwhelming for IT and business leaders to develop an IoT strategy.

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

whitePaper | June 2, 2021

The Industrial Internet of Things (IIoT) is a rapidly expanding world of connected objects. As IIoT systems proliferate, large amounts of data are consumed by machine learning algorithms and shared between partners, customers and others. IIoT is a technology environment in which integration and interoperability are critical capabilities and the complexity of this environment makes this difficult to achieve. Standards play a critical role in IIoT for five main reasons. First, users and vendors cannot engineer a custom interface every time components or systems need to interact. Standards can make this explosion of interfaces manageable; they are the lingua franca for interoperability. For suppliers, this eliminates needless costs related to common capabilities instead encouraging a focus on innovations that add value.