Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces

arXiv:2606.09227v1 Announce Type: cross Abstract: The convergence of the 2026 European Union Safe and Sustainable by Design (SSbD) framework, Corporate Sustainability Due Diligence Directive (CSDDD), and Carbon Border Adjustment Mechanism (CBAM) introduce a severe governance bottleneck for advanced semiconductor manufacturing facilities ("Smart Fabs"). Regulatory compliance demands have surpassed the capacity of manual corporate reporting, creating a direct conflict between multi-stakeholder transparency and corporate data privacy. This paper addresses this challenge by introducing a zero-trus
New EU regulations, particularly the SSbD framework, CSDDD, and CBAM, are creating immediate compliance bottlenecks for advanced manufacturers like Smart Fabs.
This highlights the growing regulatory and sustainability pressures on critical industries, which could significantly reshape global supply chains and manufacturing protocols.
The operational and compliance burden for semiconductor manufacturers will increase, accelerating the need for automated, privacy-preserving reporting solutions for industrial data spaces.
- · Industrial software providers
- · Smart Fab operators adopting AI for compliance
- · Consultants for ESG and regulatory tech
- · Manufacturers relying on manual compliance processes
- · Regions without robust data governance frameworks
Increased investment in AI and blockchain for supply chain transparency and regulatory compliance within advanced manufacturing.
Development of industry-specific data spaces and trusted proxies for managing sensitive industrial data across jurisdictions.
Potential for new global standards in sustainable manufacturing driven by EU regulations, influencing trade and investment decisions worldwide.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI