Zero Networks Introduces AI Segmentation to Control Agent Activity
Zero Networks, a provider of Zero Trust security solutions, has introduced an AI segmentation capability designed to help organizations manage and secure artificial intelligence agents operating within enterprise networks. The approach focuses on controlling how AI agents interact with systems and data by applying segmentation policies that restrict access and movement. The goal is to reduce the risk of lateral movement, where compromised agents or credentials could be used to access additional resources across the environment. The update governs AI via granular network identity controls and embeds AI inside the platform, where it can improve security operations more precisely.
Some key launches include AI SaaS Control, AI Agent Control, LLM Protection, AI Lateral Movement Control, and AI-Powered Compliance and Risk Engines. Zero Networks said, " While others are still watching dashboards, Zero is enforcing outcomes, stopping lateral movement and preventing threats from becoming business problems.”
Zero Networks said the platform provides visibility into AI-driven activity and simplifies security operations by enforcing granular access controls. The capability is intended to integrate with existing network security frameworks while addressing risks specific to agent-based systems. Security teams are increasingly concerned about how AI agents expand the enterprise attack surface.
Posted by Pure AI Editors on 04/23/2026