SAG / ARCHITECTURE NOTE
On-Premises and Air-Gapped AI: Design for Connectivity Constraints First
Explains the definition and need for on-premises deployment, how it works, criteria for applying SAG architecture, and a practical checklist, drawing on research and official documentation.
Definition in one sentence
On-premises is an approach that deploys data, models, search, and operational functions within a customer's server and network boundaries.
Key answer: Some organizations cannot use external APIs because of sensitive data and regulatory requirements. Features that assume an internet connection do not work unchanged in air-gapped environments.
Why is this technology needed?
Some organizations cannot use external APIs because of sensitive data and regulatory requirements. Features that assume an internet connection do not work unchanged in air-gapped environments.
How it works
Before signing a contract, define data classifications, SSO, model deployment, package provisioning, log export, updates, and the boundaries of incident support. Also specify any constraints that prevent external search and real-time AI observability.
When designing the system, do not consider accuracy alone. Define latency, cost, data boundaries, refresh cycles, and behavior on failure as well, so that results can be reproduced in production. For values the automation cannot determine with confidence, it is safer to leave them as unmeasured or requiring review rather than changing them to 0 or success.
How this relates to SAG technology
When designing an installable SAG deployment, review it in stages: environment assessment, scope definition, installation and connection, testing, and training and handover. This article presents deployment design principles and does not mean that every air-gapped environment has been validated. External AI response observability is possible only when network policies and approved integrations permit it.
Practical checklist
- Map data flows and export boundaries
- Define responsibilities for SSO, auditing, and backups
- Validate offline update and recovery procedures
- Distinguish the states for failures, empty results, and permission errors from success
- Revalidate under the same conditions before and after changes
Research and official documentation
Reference documents support the principles and recommendations. They do not guarantee search visibility, AI mentions, rankings, or revenue. Actual effects must be verified through service data and observations under the same conditions.
How to continue reading about this technology
Explore tenant permissions, job retries, caching, and approval history.
SAG / KNOWLEDGE LINKS