Access high-value AI resources through a unified gateway that protects both users and AI agents.
““Lumeus dramatically simplified and secured access to our GPU clusters. Their connector-based approach and MCP proxy provided enterprise-level security for developers and AI agents, resolving the previous complexities”
High-value, compute-intensive clusters need fine-grained permissions and context-aware policies that legacy VPNs cannot enforce.
CI/CD pipelines and AI agents must reach GPU resources instantly with explicit authorization and audit-grade consent.
MCP interactions between users, agents, and servers must be logged end-to-end to answer who accessed what data and why.
Current resource managers allocate GPUs without robust identity binding, leaving gaps in allocation, monitoring, and revocation.
Compliance frameworks mandate detailed trails of model usage, data flows, and authorization decisions for every AI session.
Sensitive workloads often run in private clouds or on-prem; security controls must travel with the infrastructure and honor data-residency policies.
Lumeus provides secure access to AI resources through connectors and gateways designed for GPU clusters and AI workloads.
Lightweight connector deployed on GPU instances with outbound connections to the Lumeus gateway for secure access with explicit authorization.
Model Context Protocol proxy that tracks model input/output context—monitoring who accessed what data and why with proper user consent controls.
Native identity integrations embedded into existing GPU resource management systems for seamless access control with proper permissions.
See how organizations secure AI infrastructure access with identity-integrated controls
without compromising developer productivity or AI agent workflows.
Connect to compute‑intensive clusters through Lumeus connectors with explicit authorization and least‑privilege constraints.
Use existing notebooks, IDEs, and frameworks while Lumeus handles MCP‑aware authentication in the background.
AI agents inherit the same policies and consent flows, enabling autonomous jobs without security workarounds.
Bind identities directly into current GPU schedulers and portals—no workflow replacement.
Manage policies for humans and agents across multiple clusters from a single control plane.
Produce detailed trails of model usage, data flows, and authorization outcomes for regulators.
Enforce enterprise‑grade controls, fine‑grained permissions, and continuous monitoring.
Track who accessed which model and dataset, by code or by user, with detailed tracking of data access and authorization decisions.
Apply consistent authorization across all AI infrastructure, leveraging existing IdPs and consent mechanisms.
Get unified, secure access to all your infrastructure through one gateway with zero network complexity.
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