MathWorks Provides TUV SUD-Certified Guidance for Using Agentic AI in Engineering Workflows
TECHWORLD ·
✦ AI Summary
MathWorks announced that the TUV SUD certification scope for MATLAB, Simulink, Stateflow, and System Composer has been expanded.
The expanded scope includes general-purpose AI tool classification guidance under ISO 26262.
The guidance targets model development, model review, and test case generation workflows using the Simulink Agentic Toolkit.
MathWorks announced that the TUV SUD certification scope for MATLAB, Simulink, Stateflow, and System Composer, including the IEC Certification Kit, has been expanded. The expanded scope includes general-purpose AI tool classification guidance under the automotive functional safety standard ISO 26262.
The guidance was developed based on specific use cases that have completed TUV SUD's evaluation. It includes practical applications of AI-assisted model-based design, with a particular focus on workflows for agentic model development, model review, and test case generation using the Simulink Agentic Toolkit.
The guidance also outlines how to operate these use cases in a controlled and auditable way and how to integrate them into safety-critical development processes. MathWorks said this can help organizations increase development speed while maintaining engineering rigor, traceability, and standards compliance.
MathWorks technology is built on integrating agentic AI capabilities into model-based design workflows. As a result, engineers can go beyond simple prompt input and use AI agents that perform tasks directly in Simulink models and engineering workflows. With the Simulink Agentic Toolkit, AI agents can understand model structure. AI agents can generate designs, modify designs, run simulations, create tests, and connect requirements to models.
The Simulink Agentic Toolkit combines Simulink-specific tools with expert-authored skills for model-based design workflows. Skills written by MathWorks engineers and domain experts guide agent tasks. These skills apply to model development, algorithm specification, plant modeling, testing, verification, and requirements generation.
Michael Caron, senior product marketing manager for the Simulink platform at MathWorks, said engineering teams are looking for ways to maintain rigor in system development while also taking advantage of the benefits of agentic AI. He explained that MathWorks has connected AI agents with Simulink models, simulation, and testing workflows.
He added that engineers can use agentic AI within existing engineering processes. He also said it helps support accountability required for complex engineered systems.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408226
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Source: TECHWORLD
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