26/08/2026
How can data for AI models be protected?
The more production facilities are connected, the more important the issue of data integrity becomes. Cybersecurity thus takes on even greater significance, as it creates the conditions for a reliable database essential to successful AI projects.
It is crucial to protect data throughout its entire journey—from collection at the machine to processing by AI. Comprehensive security measures include, among other things:
✅ secure data collection at the machine
✅ firewalls and intrusion detection/prevention
✅ network segmentation to contain attacks
✅ encrypted communication
✅ role-based access rights
✅ strong authentication
✅ edge computing to process data directly at the plant
Read more about how these measures contribute to the protection of industrial data on our blog: https://www.endian.com/en/resources/communication/blog/data-security-for-industrial-ai/
Reliable AI needs secure data. Endian protects your industrial data from machine to cloud, at every step. Learn how to build a strong foundation.