Industrial automation has always carried risk. What’s changed over the past decade is the scale, speed, and consequence of that risk.
Where control systems were once isolated, proprietary, and difficult to access, today they are connected, standardized, and increasingly integrated with enterprise and cloud platforms. The same Ethernet connectivity and open protocols that enable digital transformation also expand the attack surface.
For manufacturers, there’s no question that cybersecurity needs to be applied diligently and proactively to operations. Questions instead revolve around how to build an approach that protects uptime, safety, and intellectual property without crippling productivity.
Cybersecurity in OT is no longer optional, and it’s no longer just an IT problem.
Quality teams have never had more data. The challenge is converting that data into reliable, real-time decisions that prevent scrap, reduce downtime, and maintain consistent product quality.
Robot vacuums have been on the market for over 20 years and are still in fewer than 20 percent of US homes. In this episode of Automated, Brian Heater speaks with Gary Cohen, CEO of iRobot and the brand behind Roomba, about what it actually takes to rebuild one of the most iconic names in consumer robotics.
Over the years, the power industry has adapted to meet the demands of emerging technologies. Decades ago, the focus was on powering Internet servers. Later, the rise of smartphones and mobile devices required power solutions tailored to high-performance processors, bright screens, and continuous data connectivity.
A secure industrial supply chain is no longer defined by physical controls around a defined network perimeter and contractual safeguards with suppliers. In an era of maturing artificial intelligence, open-source software, interconnected vendor ecosystems, and increasingly sophisticated cyberattacks...
If you want to understand how artificial intelligence will really impact the world, don’t look at coding, law, or finance. Look at healthcare. It is where AI faces its hardest test: layers of regulation, life-or-death stakes, complex biology, and a deeply human, compassionate core that most people would assume is the last thing a machine could replicate.
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