Industrial Information Layer for Software-Defined Automation

Author photo: Jan Burian and Constanze Schmitz
ByJan Burian and Constanze Schmitz
Category:
Industry Trends

As industrial operations become increasingly connected, software-driven, and data-centric, cybersecurity has become a business-critical requirement. Organizations must not only protect converged IT and OT environments but also comply with regulations and standards such as IEC 62443* and the NIS2 Directive. Against this backdrop, COPA-DATA emphasizes a trusted and traceable data foundation. Here, their software platfrom zenon provides capabilities for collecting, validating, contextualizing, and storing operational data, including quality indicators and timestamps. These functions support data integrity, traceability, and consistency across industrial environments, while facilitating the exchange of operational data between systems and stakeholders.

Unified Industrial Information Platform 
Within the context of the intelligent factory, COPA-DATA positions zenon as a unified industrial information platform that collects, contextualizes, and manages operational data across both modern and legacy environments. Rather than serving solely as an HMI/SCADA platform, the platform is evolving into a cloud-native information and orchestration layer that combines broad industrial connectivity, data contextualization, AI enablement, and support for software-defined automation. In COPA-DATA's vision, software-defined automation provides the technological foundation, while zenon delivers the information layer that connects engineering, production, enterprise systems, and cloud services through a common operational model.

From an ARC perspective, this strategy aligns with the broader industry shift toward the convergence of software-defined automation, Industrial DataOps, digital twins, industrial AI, and cybersecurity. Rather than focusing on fully autonomous factories that remove humans from operational decision-making, COPA-DATA advocates a pragmatic, evolutionary approach in which AI progressively augments engineering and operations through AI-assisted engineering, adaptive control loops, self-learning systems, and increasingly intelligent manufacturing processes.

Within this framework, zenon serves as the industrial information backbone, enabling trusted data exchange, contextualized decision-making, and the continuous synchronization required to support digital twins, edge-to-cloud operations, and the next generation of autonomous industrial workflows, while helping organizations address evolving cybersecurity requirements.

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