Network Segmentation

Network segmentation divides an organization's IT infrastructure into separate, isolated zones to control data flow and limit unauthorized access between systems. For AI governance, this practice is critical because it prevents compromised models or malicious actors from accessing sensitive training data, proprietary algorithms, or production systems across the entire network. By isolating AI workloads in their own network segments, enterprises can enforce stricter access controls, monitor data movement more effectively, and contain security breaches before they spread to critical business operations.

1 item

Corporate PolicyGlobal2026-08-03

Two-Thirds of Enterprises Lack Agent Governance Policies as Network-Layer Controls Emerge

Zero Networks has launched a capability called Least Agency Enforcement that applies the OWASP Least Agency principle at the network and identity layers to constrain AI agent autonomy. The offering uses identity-based micro-segmentation and just-in-time authentication to limit agents to explicitly authorized systems and block lateral movement if an agent is compromised. Zero Networks' own research found that roughly two-thirds of enterprises deploying AI agents have no governance policies covering them.

Zero Networks agentic AI least privilege network segmentation OWASP agent identity non-human identity AI agent security