Traditional network segmentation has long been a challenge for industrial operators, often requiring complex redesigns that risk critical downtime. Many firms previously opted for reactive detection methods, but the rapid evolution of automated attack vectors has rendered those strategies insufficient. Cyolo’s new offering enables companies to map asset communications, simulate policy impacts, and enforce granular controls without the need for disruptive infrastructure overhauls.
Cyolo Expands Zero Trust Platform to Secure Machine-to-Machine Traffic
Industrial organizations facing a surge in AI-driven cyber threats now have a new line of defense, as Cyolo launches its CPS Segmentation platform. By extending security controls beyond human access to include machine-to-machine communications, the Miramar-based company aims to curb lateral movement within sensitive critical infrastructure networks.

Built on a Zero Trust architecture, the tool provides visibility into shadow access and flow mapping, allowing security teams to identify risks and validate connectivity changes before they go live. According to CEO Almog Apirion, the platform is designed to apply OT-native security principles to the entire operational ecosystem, ensuring that essential services remain resilient as the threat landscape expands. By integrating these capabilities into its existing remote access and identity security suite, Cyolo provides a unified interface for managing both human-to-machine and machine-to-machine connections.



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