Secure Infrastructure for the Mission

Starlight is a secure infrastructure and AI platform built to run wherever the mission requires, from cloud and government datacenters to tactical edge, disconnected, and air-gapped environments. Starlight secures the infrastructure stack from the ground up with hardened, immutable infrastructure, STIG & FIPS security profiles, post-quantum cryptography, runtime protection, and confidential computing that protects sensitive data and AI workloads while in use.

Government organizations can modernize without abandoning the applications and operational practices they already depend on. Existing enterprise workloads can transition to Starlight without application refactoring, with the virtualization capabilities administrators expect for managing virtual machines, images, networks, storage, snapshots, backup and recovery, migration, high availability, and day-to-day operations. Alongside those workloads, Starlight provides a path to containers, Kubernetes, microVMs, private and sovereign AI, and autonomous agents under the same infrastructure and security model.

For AI and data-intensive missions, Starlight keeps sensitive information and AI under organizational control. Data is protected at rest and in transit, while confidential computing provides hardware-backed protection for sensitive data, model weights, and workload memory while in use. Models and applications can execute locally on government-owned infrastructure, allowing mission capabilities to continue operating when connectivity is degraded or unavailable without requiring a reach back to a centralized control plane.

The result is a common infrastructure foundation that spans existing enterprise systems and the next generation of mission applications and AI. Agencies can modernize at their own pace, maintain sovereignty over infrastructure, data, and models, reduce operational complexity, and deploy new capabilities wherever they are needed without creating a separate infrastructure stack for every new mission requirement.