The Internet of Things on AWS – Official Blog

Tag: IIoT

Learn how to secure your IIoT solutions with AWS IIoT security workshop

Introduction Industrial digital transformation is driving changes to the Operational Technology (OT) landscape, making it more connected to the internet and IT systems and solutions. With OT/IT convergence, OT environments are leveraging more IT solutions to improve productivity and efficiency of production operations. Industrial customers can use AWS edge and cloud services to securely access […]

Implement security monitoring across OT, IIoT and cloud with AWS Security Hub

Introduction Industrial digital transformation can increase competitiveness and optimize processes and profitability through the use of big data, IoT, machine-to-machine communication, and machine learning. Continuous digitalization and progressive interconnectivity of the production environment is important to capturing value from industrial IoT (IIoT) solutions. While this new and expanding “physical meets digital” connectivity enables great rewards, […]

Assessing OT and IIoT cybersecurity risk

This blog is co-authored by Ryan Dsouza, AWS and John Cusimano, Deloitte  Introduction Innovative and forward-looking oil and gas, electrical generation and distribution, aviation, maritime, rail, utilities, and manufacturing companies who use Operational Technology (OT) to run their businesses are adopting the cloud in many forms as a result of their digital transformation initiatives. Data […]

What actions customers can take to protect, detect, and respond to Log4j vulnerabilities in Operational Technology (OT) and Industrial Internet of Things (IIoT) environments

In this post we will provide guidance to help industrial customers respond to the recently disclosed Log4j vulnerability. This post covers how to identify if you are susceptible to the issue, and then how to address the vulnerability in OT and IIoT environments. The Log4j vulnerability (CVE-2021-44228, CVE-2021-45046) is a critical vulnerability (CVSS 3.1 base […]

How to implement zero trust IoT solutions with AWS IoT

Introduction Zero trust is often misunderstood. It’s not a product but a security model and associated set of architectural principles and patterns. One of the main challenges customers face is determining how zero-trust principles can be applied to Internet of Things (IoT) and how to get started with incorporating zero trust with Amazon Web Services […]

AWS IoT Greengrass now supports the Windows operating system

Introduction Microsoft Windows is a common operating system for devices used in industrial automation. Customers using AWS IoT Greengrass have been restricted to Linux based devices until now. Today we are excited to announce native Windows support for AWS IoT Greengrass v2. This will allow customers to leverage AWS IoT Greengrass on their Windows based […]

AWS IoT SiteWise Overview

Collecting, organizing, monitoring, and analyzing industrial data at scale using AWS IoT SiteWise (Part 1)

Post by Saras Kaul, Senior Product Manager of IoT SiteWise, Asim Kumar Sasmal, Senior Data Architect, and Mark Gilbert, Senior Consultant in the IoT Global Specialty Practice of AWS Professional Services.   Industrial customers have been looking for a secure, cost-effective, and reliable field-to-cloud solution that does the following: Ingests all their data from hundreds of industrial sites that […]

Improving industrial safety with video analytics, AWS IoT Core, and AWS IoT Greengrass

Improving industrial safety with video analytics, AWS IoT Core, and AWS IoT Greengrass

Industrial customers are increasingly using the AWS Cloud to meet their targets for predictive quality, predictive maintenance, and asset condition monitoring. For more examples, see the Top Use Cases for Industrial IoT Applications ebook. The first of these, predictive quality, is often strongly correlated with the level of safety in an operating environment. In this […]

Using AWS IoT for Predictive Maintenance

The interest in machine learning for industrial and manufacturing use cases on the edge is growing. Manufacturers need to know when a machine is about to fail so they can better plan for maintenance. For example, as a manufacturer, you might have a machine that is sensitive to various temperature, velocity, or pressure changes. When […]