Defense

This blog explores how organizations can build self-hosted AI copilots — private, secure assistants trained on internal data to support engineering, operations, and support teams. Unlike public AI tools, these co-pilot stacks run entirely on-premise, ensuring data control and compliance. Powered by LLMs like Llama 3 and RAG pipelines, they assist with tasks like log analysis, SOP checks, and support ticket drafting. The stack typically includes an LLM engine, retrieval system, orchestration layer, and secure UI. The key takeaway: AI copilots no longer require cloud APIs — they can be deployed securely inside your systems, one workflow at a time.

Explore the pros and cons of hosted APIs vs. self-contained LLMs, and how mission-driven teams are protecting data while scaling AI use cases in-house.

In defense, platform outages can stall missions — making 99.99% uptime essential. Achieving this requires resilient architecture, real-time monitoring, and secure deployment strategies like blue-green and canary rollouts. Systems must balance airtight security with high performance under load. NetRay’s zero-downtime CMS deployments for clients like Curtiss-Wright prove it’s possible to modernize without risk. With the right design, your systems stay mission-ready — always.

Defense and aerospace teams are rapidly shifting from public AI APIs to secure, self-hosted LLMs. This move ensures full control over sensitive data, meets compliance standards like ITAR and CMMC, and enables faster response times. Self-hosted models can be trained on internal workflows, turning generic AI into mission-aligned copilots. Unlike public platforms, these systems operate without data leakage or latency risks. NetRay helps deploy these LLMs securely — tailored to your infrastructure and operations.

AI is transforming defense operations by automating workflows, enabling real-time decision-making, and enhancing mission planning with predictive intelligence. Solutions like those from Netray.co deliver speed, resilience, and compliance across tactical and strategic environments.