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Zero Networks – AI Segmentation for Autonomous Agent Control (2026)

Zero Networks launched AI Segmentation in April 2026, applying zero-trust identity controls to autonomous AI agents to prevent lateral movement and unchecked access within enterprise networks. The product addresses a newly recognized security gap as AI agents proliferate inside corporate environments, competing with Mondoo, Astrix, and Capsule Security in an emerging product category.

Importance: 70%Confidence: 85%Mentions: 1Updated: April 22, 2026
## Overview Zero-trust security startup Zero Networks Ltd. launched AI Segmentation on April 21, 2026, a set of platform capabilities designed to give enterprises identity-based control over autonomous AI agents and block AI-driven lateral movement across corporate networks (SiliconAngle, April 21). ## Product Capabilities According to SiliconAngle (April 21), AI Segmentation targets three gaps enterprises face as AI agents proliferate: 1. **Unchecked agent access** – AI agents operating without scoped identity constraints 2. **Lateral movement** – AI-driven propagation across corporate networks analogous to malware lateral movement techniques 3. **Governance gaps** – Absence of enterprise-grade controls over what actions autonomous agents can take within networked environments The offering applies Zero Networks' existing zero-trust segmentation architecture to AI agent identities, extending network microsegmentation principles to non-human actors. ## Market Context AI Segmentation enters a rapidly forming product category. As autonomous AI agents are deployed inside enterprise environments, security teams face a novel attack surface: agents with excessive permissions, compromised agent credentials, or adversarially manipulated agent behavior can traverse internal systems in ways traditional perimeter security cannot detect. Zero Networks is competing in this space alongside Mondoo (AI Skills Check), Astrix Security (Cisco acquisition talks), and Capsule Security. ## Strategic Importance For attorneys and enterprise technology executives: - **Liability exposure**: Organizations deploying autonomous agents without identity-scoped controls may face negligence claims if agent actions cause data breach or system compromise. - **Insurance implications**: Cyber insurers (see: Cowbell Prime One) are beginning to require governance controls around AI agent deployments. - **Regulatory trajectory**: AI governance frameworks emerging in the EU and US are likely to impose requirements around autonomous system access controls.