Artificial Intelligence is moving out of the browser and into the physical world. Over the past few years, Large Language Models (LLMs) transformed how people interact with digital systems. AI…
Physical AI is moving intelligence from digital environments into the physical world. Unlike cloud-based AI systems that primarily generate content or support human decision-making, Physical AI systems interact directly with…
There’s a simple question at the center of modern application lifecycle management: Are you managing applications through tickets and handovers, or through automation and deployment pipelines? In many environments, the…
Reflections based on NCSC’s five OT architecture principles. Operational technology environments have their own reality when it comes to security, shaped by legacy and long-lived systems, insecure or unauthenticated protocols,…
Edge orchestration discussions often focus on deploying containers to remote hosts — as if getting a workload to start is the main challenge. In reality, that is only the beginning….
Data harvesting is the automated, large-scale collection of data from sources sensors, cameras, and IoT devices, organized so it can be turned into insight. In modern operations, the speed at…
For decades, IT and OT have run on separate tracks. IT focused on data, applications, and the cloud, while OT kept the machines running on the factory floor. This separation…
Keeping software, firmware, and applications up to date across a large set of distributed sites and devices is becoming one of the central challenges in modern deployment models. As more…
At Avassa, we believe in thinking about the world in abstractions. Specifically, abstractions defined as “a mechanism which permits the expression of relevant details and the suppression of irrelevant details”…
The EU Cyber Resilience Act, or CRA, makes cybersecurity a legal requirement for products with digital elements sold in the European Union. It changes how teams design, build, ship, and…