Siemens has introduced a new generation of its SINUMERIK ONE computer numerical control (CNC) platform, combining artificial intelligence readiness with enhanced cybersecurity features as manufacturers increasingly modernise production environments for data driven operations and stricter regulatory requirements.
The upgraded platform has been designed to support industrial AI applications while meeting the European Union's Cyber Resilience Act (CRA), positioning it for manufacturers seeking to improve productivity, strengthen cyber resilience and prepare for more connected factory operations.
At the heart of the new release is a next generation Numerical Control Unit (NCU) featuring significantly higher computing power, modern graphics architecture and a new programmable logic controller (PLC) application specific integrated circuit. Siemens said these enhancements improve communication, data processing and overall system performance for complex manufacturing environments.
The latest SINUMERIK ONE platform also introduces a 64 bit architecture that serves as the foundation for industrial AI integration. According to Siemens, the new architecture enables manufacturers to connect CNC systems with cloud, edge and analytics platforms, allowing machine data to be used for predictive maintenance, quality optimisation and process improvements.
Industrial AI is becoming increasingly important as manufacturers seek to reduce downtime, improve machining precision and optimise production efficiency. Siemens said the platform allows customers to integrate AI powered applications into machine tools while supporting data intensive manufacturing workflows that rely on real time analysis and automated decision making.
The hardware upgrade includes new NCU 1740.2 and NCU 1760.2 processor models, which offer improved processing capabilities alongside greater communication performance. A dedicated PLC ASIC has also been introduced to enhance Profinet functionality while supporting long term availability and system maintenance. Siemens said the additional computing capacity provides greater flexibility for future software updates and AI driven industrial applications.
Another major focus of the launch is cybersecurity. As manufacturing systems become increasingly connected, industrial organisations face greater exposure to cyber threats and evolving regulatory requirements. Siemens said the new SINUMERIK ONE generation has been engineered to comply with the EU Cyber Resilience Act, which establishes stricter requirements around product security, software updates and long term maintainability. The company added that its broader SINUMERIK portfolio has also been designed to meet CRA requirements.
The updated graphics processor enables more advanced human machine interface capabilities, allowing machine builders to develop modern operator experiences with improved visualisation and usability. Siemens said these enhancements can reduce operator training requirements while shortening machine setup times and improving operational efficiency.
The launch reflects Siemens' broader industrial AI strategy. Earlier this year, the company expanded its Industrial Edge ecosystem with AI deployment capabilities, enhanced IT and operational technology integration and stronger cybersecurity features to support intelligent manufacturing environments.
Industry analysts note that manufacturers are increasingly investing in AI enabled automation as they pursue smarter factories capable of analysing production data in real time. AI driven predictive maintenance, quality inspection and process optimisation are becoming key priorities as industrial organisations seek higher productivity and lower operational costs.
For Siemens, the new SINUMERIK ONE generation represents another step towards AI native manufacturing. By combining higher computing performance, AI ready architecture and enhanced cybersecurity, the company aims to help manufacturers build production systems that are better prepared for future digital manufacturing requirements while addressing evolving regulatory expectations.