Secure Industrial AI
The best way to connect process data for Industrial AI
Industrial AI needs secure access to process data. But this requires a new architecture since most operations networks (OT) lack secure Internet access.
Today, security means completely isolating the OT network using a DMZ. Skkynet’s Cogent DataHub software puts OT data on a DMZ using only outbound connections. This keeps all inbound firewall ports closed and requires no VPNs. On the DMZ, connected DataHub software provides secure, bidirectional data flow to and from any cloud service to support real-time Industrial AI.
Key factors to consider:
- Access plant data securely: Using a DataHub instance within a DMZ means no firewall ports open into the plant—zero attack surface. The DataHub instance on the plant network provides an outbound connection to the DMZ using the DHTP protocol, and the DataHub instance on the DMZ makes an outbound MQTT, DHTP, Kafka, or Event Stream connection to send data to the cloud.
- Python API: The DataHub™ API for Python connects in real time to a DataHub instance over TCP.
- Unified namespace In-plant connections integrate data from any supported industrial protocol, such as OPC UA, DA, A&E, MQTT, Modbus, ODBC and more into a single, unified namespace to optimize AI processing.
- No access beyond the required data: The plant decides which data to make available remotely.
