Mainsail Starlight: Next-Generation Secure Virtualization
Next-Generation Secure Infrastructure & Isolated AI Workloads
Modern enterprise and public sector infrastructure demands uncompromising security without sacrificing operational continuity. Mainsail Starlight provides a lightweight, secure virtualization platform that modernizes your infrastructure stack without requiring you to refactor existing workloads. From legacy virtual machines to AI inference and autonomous agent microVMs, Starlight delivers hardware-level isolation, governance, and seamless tool compatibility across your entire estate.
Secure Virtualization
Legacy hypervisors add friction, cost, and complexity to infrastructure management. Starlight offers a modern replacement for legacy virtualization without forcing you to refactor a single virtual machine. Both Windows and Linux workloads run completely unchanged directly on your existing hardware, eliminating migration risks and preserving operational workflows.
AI Inference
Deploying Large Language Models (LLMs) requires strict control over sensitive data and intellectual property. Starlight enables organizations to serve LLMs locally on infrastructure they fully own and control. Gain high-performance AI inference backed by the exact same security, governance, and audit posture enforced across the rest of your IT environment.
Agent MicroVMs
Autonomous AI agents require stringent containment to prevent credential leakage and untrusted execution. With Starlight Agent MicroVMs, every command, file modification, and network connection an agent executes runs inside its own hardware-isolated machine. Monitored continuously from a hardened host, Starlight keeps credentials, security policies, and audit evidence safe and tamper-proof.
Kubernetes MicroVMs
Standard container runtime boundaries often lack the isolation required for highly multi-tenant or sensitive environments. Starlight Kubernetes MicroVMs allow you to run complete Kubernetes clusters on ultra-lightweight microVMs where every worker and controller receives its own kernel and hardware boundary—all while keeping your existing Kubernetes tools, CI/CD pipelines, and workflows intact.
