AI Governance for Aerospace and Defense

Make AI part of your controlled environment.

Govern the full information path: approved sources, retrieval, model endpoints, tools, outputs, and logs. Liminaid is designed to apply controls within qualified platform workloads and assess supported existing AI paths through standalone Assurance.

An approved path from information to AI.

Give teams a curated set of AI services rather than unrestricted connections to external tools. Start with the workload's sources, users, and approved processing requirements, then deploy the supporting services through reviewed patterns.

Govern more than the final model call.

Include source access, document retrieval, prompts, outputs, agent tools, and logging in the operating design. A reviewed endpoint does not make every connected source or tool appropriate for the workload.

Keep service choices inside the approved catalog.

Select model deployments and AI components appropriate to the customer-defined boundary. Review new services and connections rather than silently expand the information path as the application evolves.

Preserve evidence as the application changes.

Review observable deployment, access, configuration, and service changes in managed workloads or separately authorized connected environments. Distinguish prevented actions, detected drift, missing or stale evidence, and decisions requiring human review.

Use AI with the ownership model your enterprise requires.

Consume a Liminaid-managed environment, keep your own cloud account with Managed BYOC, or operate Private Edition with your own team. The AI governance approach remains part of the platform, not a separate unrestricted workspace.

Compare Operating Models →

Govern AI usage. Use AI to investigate control changes.

AI governance controls the application’s information path

Define which users may reach which sources, retrieval services, models, tools, outputs, and logs. Qualified deployment patterns can prevent disallowed connections where the platform has authority to enforce them.

Assurance investigates whether observable controls still hold

Approved AI agents correlate changes, gather permitted evidence, and recommend action. Deterministic tests establish the measured control result. These are related capabilities, not interchangeable claims about AI safety or compliance.

An existing application changes its endpoint or tools

Standalone Assurance is designed to compare the observable processing path with the approved program profile, investigate the changed permissions and connections, and recommend a qualified configuration. Customer authority governs consequential changes, and verification establishes what the final path actually shows.

No PaaS migration is required. Connector permissions and telemetry define the coverage; opaque or uninstrumented paths remain unverified rather than automatically approved.

Discuss assessment of your existing AI paths →Explore Liminaid Assurance →

Frequently asked questions

What does Liminaid govern in an AI workload?

The platform scope includes approved source access, retrieval, model endpoints, prompts, outputs, agent tools, logging, and external connections.

Can we use any model or external tool?

Services must fit the approved workload and catalog. Liminaid does not promise unrestricted access to every model or integration.

Can AI run inside our own cloud account?

Managed BYOC and Private Edition are designed for customer-owned AWS GovCloud, Azure Government, and qualified Google Cloud configurations. Services, regions, model processing, support access, and operating responsibilities must fit the approved workload.

Does an alert automatically establish a violation?

No. The platform distinguishes control events, drift, missing evidence, and questions requiring review. These are not automatic legal determinations.

Who determines the permitted information and users?

The customer supplies authoritative classifications, personnel eligibility and project authorization, permitted activities, and required export authorizations.

Does Liminaid replace our security or export-compliance team?

No. It translates approved requirements into platform controls and evidence, while the customer retains the decisions and responsibilities outside the managed scope.

Give your AI use case an approved path forward.

Discuss a new application’s approved processing path or assessment of the AI environment you already run. Keep the initial conversation at a non-sensitive level.

© 2026 Liminaid. All rights reserved.