Summary
Industrial data security addresses the challenges arising from OT/IT network convergence in smart manufacturing, where previously air-gapped industrial control systems (PLC, DCS, SCADA) are now exposed to cyber threats. Security revolves around three core principles — confidentiality, integrity, and availability — with availability and integrity prioritized over confidentiality in industrial settings. The defense-in-depth strategy follows ISA-95 and IEC 62443 standards with layered protection from field devices through control, execution, management, and cloud levels. Compliance with China’s Level Protection 2.0 (Grade 3) is standard for manufacturing enterprises.
Key Claims
- OT/IT convergence introduces risks: attackers penetrating from IT to OT networks to control PLCs, ransomware encrypting MES databases, competitors stealing process parameters, and insider threats accessing sensitive production data.
- Data masking strategies differ by type: numerical noise for process parameters, name masking for employee data, code substitution for supplier information, and range fuzzing for equipment parameters, with static masking for dev/test and dynamic masking for API layers.
- Access control follows ISA-95 organizational hierarchy with role-based permissions, factory-workshop-line data scope restrictions, fine-grained functional permissions, and time-limited temporary access, all backed by comprehensive audit logging with 180-day retention.
Connections
- DataWarehouse — security policies govern warehouse access, with dynamic masking at the API layer protecting sensitive production data
- DataGovernance — security is a core pillar of data governance, covering access policies, audit trails, and compliance requirements
- RAG — security-aware RAG systems must respect access control boundaries when retrieving sensitive manufacturing data