The goal of neural networking in cybersecurity is to be able to detect unusual behavior and patterns, especially within OT assets and networks. Detecting unusual behaviors often leads to the discovery that you have been compromised or something has been misconfigured.
“Having visibility into your industrial assets and networks is the first step to understanding your overall OT cybersecurity posture,” says Pete Lund, vice president of products for OT security at infrastructure cybersecurity specialist Opswat.
To take advantage of such abilities, Opswat unveiled its AI-powered network visibility solution, Neuralyzer. The software tool leverages machine learning (ML) to learn the communication patterns between assets and networks to determine what “normal” activity is. This enables OT workers to remain focused on the primary tasks at hand, and only alert them when abnormal activity occurs.
“Neural networks have the ability to learn in a similar way as the human brain, and so they can…