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    Home»WiFi / Internet & Networking»How Zero Networks is closing the network enforcement gap for AI agents
    WiFi / Internet & Networking

    How Zero Networks is closing the network enforcement gap for AI agents

    adminBy adminApril 21, 2026No Comments2 Mins Read
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    Once an administrator selects an asset and sets an enforcement date, the platform enters a learning period and builds rules automatically. Before enforcement begins, it simulates against observed traffic to show what would be allowed, blocked or MFA-challenged on the enforcement date.

    How Agentic AI changes the game for microsegmentation

    Zero Networks’ push into AI controls came directly from its customer base. The questions organizations were asking were straightforward: What are my AI agents doing and where are they connecting to The platform addresses this by treating AI agents the same way it treats any other process running on a managed OS.

    From a network behavior standpoint, agents share some characteristics with traditional bots, though fingerprinting is more straightforward since they originate from known, legitimate vendors. The platform identifies what an agent is, learns what it typically does, and enforces a least-privilege boundary around it. When an agent attempts a connection outside that boundary, the platform blocks it and alerts both the end user and the security team.

    On the SaaS side of AI, Zero Networks categorizes all outbound internet connections. An organization can permit access to a sanctioned AI service while blocking all other AI destinations in a single policy rule, covering both well-known tools and niche services employees may be running without authorization.

    AI is also changing the threat side of the equation. Attackers are using AI to build tools faster and run them more autonomously, shortening the window between initial access and lateral spread. Zero Networks’ least-privilege enforcement model applies the same controls to AI-assisted lateral movement as to any other unauthorized connection attempt.

    Roadmap: Deeper detection and inline insight

    Looking ahead to the second half of 2026, Zero Networks plans to move further into the detection space and become more inline with certain protocols. The aim is to gain richer visibility into what is happening at the application layer, not just at the network metadata level.

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