OPC UA aggregation Server with full range of OPC UA Security Features

Secure Integration Server (SIS) provides a powerful OPC UA data integration layer. Based on the OPC UA aggregation server users implement flexible solutions combining the various OPC UA Servers at automation level with their associated address spaces and making the data available to IT applications via a consistent OPC UA interface. Secure Integration Server covers the full range of OPC UA security features and enables the implementation of state-of-the-art security solutions.

The interface abstraction of Secure Integration Server enables continuous adaptation and scaling of OPC UA-based IoT solutions throughout their entire lifecycle. Users gain a high degree of flexibility and at the same time significantly reduce integration and configuration costs.

Secure Communication

• Support of all safety functions of OPC UA standard
• Provide different data for different users and applications
• Support for multiple OPC UA Endpoints (client or server), each with its own certificates
• Filtered access, depending on IP address (White List / Black List for OPC UA Endpoints)
• Detection of DoS (Denial of Service) attacks on OPC UA authentication

Data Aggregation

• Aggregation of data from multiple sources in a server (aggregation of OPC UA Namespace)
• Application access to aggregation servers, not too many individual data sources
• Extensive and flexible OPC UA Service-based address space filtering, down to OPC UA Item level
• Reduced configuration effort (Configuration not required individually for each OPC UA data source and each OPC UA Client)

Interface Abstraction

• Common, stable OT interface for different IT applications
• Adaptations in automation network transparent for IT applications
• Support for standardized address spaces (companion specifications)
• Decoupling of investment decisions in IT and OT environment

Solutions for Edge Architectures

• Edge solution with features and benefits identical to those resulting from using central cloud platforms
• Running local clients (e.g. for edge analytics) in parallel with cloud-based applications
• Start with small IoT solution on cloud basis, later adaptation and expansion over time possible