IoT Architecture

whitePaper | January 8, 2020

The 19th century was a century of empires. The 20th century was a century of states. The 21st century will be a century of cities.” This quote by Wellington E. Webb, former mayor of the City of Denver, seems plausible when you look at the numbers: Although cities cover only a fraction of the Earth’s surface, they are already home to more than half of the world’s population.

whitePaper | August 1, 2022

Cloud environments change fundamental assumptions in how to perform threat detection and response. The highly dynamic inventory of cloud workloads means systems come and go in seconds. When system configuration errors are introduced during a build, they can be exacerbated and amplified when automation replicates the errors across many workloads. Shared responsibility with the cloud service provider (CSP) creates potential threat detection gaps in the attack lifecycle.

whitePaper | January 26, 2022

What’s the largest roadblock to realizing the promise of the Internet of Things? For many organizations, the obstacle delaying widespread deployments is the strategy for onboarding the necessary edge resources for a lifetime of secure operation. Proof-of-concept and pilot systems comprised of dozens and even hundreds of nodes in a controlled setting are simply different than a full-scale rollout.

whitePaper | March 10, 2022

Each connected sensor in your IoT solution can create thousands if not millions of data points every hour. A treasure trove of value exists in that raw data! But to leverage that value, your business needs to store data over time and process, organize and analyze your data properly.

whitePaper | May 9, 2022

The current task with IoT is to drive performance outcomes by combining it with other advanced technologies and gaining buy-in from the employees essential to making digital initiatives possible.

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.