Lumeus is a secure access platform designed for AI infrastructure, replacing traditional VPNs and jump boxes with identity-integrated, agent-native controls for GPU clusters and AI workloads. The platform consists of two core components: **AI Infrastructure Connector** A lightweight connector deployed directly on GPU instances that establishes outbound connections to the Lumeus gateway. It enforces security context constraints, supports Just-In-Time (JIT) access principles for GPU resource allocation, and is compatible with major GPU schedulers including Slurm and Kubernetes. **Centralized MCP Gateway** A Model Context Protocol (MCP) proxy that monitors and logs all AI coding agent interactions. It tracks which users accessed which data, through which tools, and records authorization decisions end-to-end. The gateway enforces user consent controls and integrates with AI governance policies for data classification. **Identity-Integrated Resource Management** Lumeus embeds identity provider integrations into existing GPU resource management systems, binding identities directly into GPU schedulers and management portals without replacing existing workflows. It enforces Zero Trust network access principles and least-privilege constraints. The platform provides a single control plane for managing access policies for both human users and autonomous AI agents across multiple clusters. It produces compliance-grade telemetry including detailed trails of model usage, data flows, and authorization outcomes. Policies are enforced consistently across all AI infrastructure using existing identity providers.