Zero Networks Offers AI Segmentation to Control AI Agents

Zero Networks, a leading provider of Zero Trust security solutions, is launching AI Segmentation, a new set of platform capabilities that give enterprises control over AI and not just visibility.

According to the company, the release tackles three industry challenges—AI agents operating with unchecked network access, AI-driven lateral movement (AILM) spreading faster than teams can respond, and compliance and risk operations that can’t keep pace with the environment. 

“Most vendors are out there selling AI hype. We’re not. Zero Networks puts enterprises in control of AI—full stop,” said Zero Networks CEO and co-founder Benny Lakunishok. “This isn’t just visibility. It’s real control. Real-time, deterministic control over AI agents, combined with AI-driven visibility and an integrated Compliance and Risk Engine that continuously scores risk, maps activity to frameworks like NIS2 and CIS Benchmarks, and flags what actually matters. While others are still watching dashboards, Zero is enforcing outcomes—stopping lateral movement and preventing threats from becoming business problems.”

Zero Networks introduces:

AI SaaS Control: Governs which cloud AI services employees, users, and devices can access at the network layer. Organizations can control access to sanctioned tools such as ChatGPT, Gemini, Copilot, and others while automatically blocking unsanctioned or shadow AI services across the environment. 

AI Agent Control: Provides visibility and enforcement for every AI agent operating in the environment. Organizations can identify which agents are running, what they’re accessing, and how they communicate, while enforcing the same identity-based controls applied to users and devices, with strict least-privilege boundaries on every interaction. 

LLM Protection: Secures model infrastructure at the network layer so only authorized systems can reach it. By segmenting access to LLM environments, Zero Networks helps prevent tampering, poisoned data inputs, hidden backdoors, and compromised models from accessing critical resources. 

AI Lateral Movement Control: Stops the spread of both AI-driven attacks and autonomous agent activity by eliminating lateral movement at its source. By enforcing identity- and network-based least privilege, Zero Networks removes unnecessary connectivity across the environment to ensure unauthorized users, systems, or AI agents cannot access critical resources.

AI-Powered Compliance and Risk Engine: Embeds AI into security operations to simplify investigation and continuously prove compliance. Security teams can query live network activity in natural language and analyze behavior across billions of connections, while the platform evaluates activity against frameworks such as NIS2 and CIS Benchmarks, assigning dynamic risk scores and identifying the most critical gaps in real time.

The new capabilities are available now as part of the Zero Networks platform.

For more information about this news, visit https://zeronetworks.com.