Technical resources
Original, source-backed guidance for teams evaluating air-gapped AI, offline retrieval, governed technical knowledge, and security assurance in disconnected environments.
Resource library
Each guide separates practical design requirements from claims that depend on a specific deployment, assessment, or authorization boundary.
A practical guide to the architecture, hidden dependencies, software supply chain, and controlled update process behind a genuinely disconnected AI appliance.
Seven practical design requirements for retrieval-augmented AI that must remain useful through denied, degraded, intermittent, and limited connectivity.
How to design a source-grounded technical manual assistant that helps maintainers find evidence faster without displacing approved procedures or human judgment.
A precise guide to STIG terminology, assessment scope, tailoring, scan evidence, and defensible security claims for AI appliances used in DoD environments.
Publishing standard
Boundaries, dependencies, update chains, recovery, and the local services required beyond a model runtime.
Retrieval, citations, document revisions, approved sources, and human decision authority at the point of work.
Precise language, named baselines, assessment scope, findings, and customer responsibilities instead of slogans.
Mission-specific questions
Bring the operating constraints, knowledge sources, and security boundary. We’ll map them to a practical Mimir deployment pattern.
