VeilNet provides a zero trust network platform designed for AI agentic systems. The platform enforces identity-based access controls at the network layer, enabling organizations to secure AI agents that interact with files, tools, code runtimes, databases, and external services. The platform integrates at the code level through SDK function calls or as a deployable service, allowing developers to add secure networking capabilities without infrastructure migration or reconfiguration. VeilNet consolidates multiple networking functions including load balancing, ingress control, proxy, and VPN capabilities into a single platform. The system implements workflow microsegmentation at the network layer, integrating with existing OAuth2 identity providers such as Google and Okta. This approach restricts agent access to only necessary resources, preventing lateral movement and limiting the attack surface. The platform operates with a decentralized coordination model where nodes automatically optimize network paths and maintain connectivity even when routes fail or nodes go down. VeilNet incorporates post-quantum cryptography to protect communications against future quantum computing threats. The platform establishes direct connections between agents and resources across different networks, clouds, and on-premises environments, automatically routing through intermediate nodes when direct connections are not possible. Organizations can deploy VeilNet on their own infrastructure with no cloud dependency, maintaining full control over data, nodes, and security policies while gaining centralized visibility into agent-to-resource connections through existing observability tools.